{ "schema_version": "1.0", "title": "PublicSector.ai Research & Insights", "updated_on": "2026-11-13", "publishers": [ { "id": "gao", "name": "U.S. Government Accountability Office", "short_name": "GAO", "organization_type": "government_accountability", "url": "https://www.gao.gov/" }, { "id": "ibm-center", "name": "IBM Center for The Business of Government", "short_name": "IBM Center", "organization_type": "research_center", "url": "https://www.businessofgovernment.org/", "sponsor": "IBM" }, { "id": "deloitte", "name": "Deloitte Center for Government Insights and Deloitte AI Institute for Government", "short_name": "Deloitte", "organization_type": "commercial_research_center", "url": "https://www.deloitte.com/us/en/insights/research-centers/center-for-government-insights.html", "sponsor": "Deloitte" }, { "id": "partnership-public-service", "name": "Partnership for Public Service", "short_name": "Partnership for Public Service", "organization_type": "nonprofit_research_organization", "url": "https://ourpublicservice.org/build-better-government/ai-data" }, { "id": "rand", "name": "RAND Corporation", "short_name": "RAND", "organization_type": "nonprofit_research_organization", "url": "https://www.rand.org/topics/artificial-intelligence.html" }, { "id": "mercatus", "name": "Mercatus Center at George Mason University", "short_name": "Mercatus Center", "organization_type": "university_research_center", "url": "https://www.mercatus.org/research" } ], "reference_types": [ { "id": "gao_publication", "label": "GAO publication" }, { "id": "institutional_research", "label": "Institutional research publication" } ], "coverage_note": "The catalog includes screened public-sector AI publications identified through official publication pages, research collections, linked reports, and publisher indexes. Joint publications are credited to each source and appear once in the results.", "records": [ { "id": "gao:gao-27-108037", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-27-108037", "title": "Housing Construction Innovations: Technologies and Policy Options to Help Increase Supply and Affordability", "summary": "Assesses technologies to improve housing construction and affordability. Includes AI tools for planning, design, and regulatory processes alongside construction methods and materials, and offers policy options.", "publication_date": "2026-11-10", "public_release_date": "2026-11-10", "publication_year": 2026, "source_url": "https://www.gao.gov/products/gao-27-108037", "pdf_url": "https://www.gao.gov/assets/gao-27-108037.pdf", "full_text_url": null, "topics": [ "State and local government", "AI applications", "Strategy and policy" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Full report includes a dedicated analysis and table of AI uses in planning and design.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-27-107837", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-27-107837", "title": "Artificial Intelligence: Actions and Opportunities to Implement Responsible Use in DOD", "summary": "Reviews implementation of DOD's Responsible AI guidance. Recommends clearer collaboration arrangements and staffing actions and discusses congressional options to address prior recommendations.", "publication_date": "2026-10-14", "public_release_date": "2026-10-14", "publication_year": 2026, "source_url": "https://www.gao.gov/products/gao-27-107837", "pdf_url": "https://www.gao.gov/assets/gao-27-107837.pdf", "full_text_url": null, "topics": [ "National security", "Responsible AI", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "Responsible AI implementation in DOD is the principal subject.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-26-107847", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-26-107847", "title": "Wearable Technologies: Potential Benefits and Challenges in Clinical Decision-Making", "summary": "Assesses how wearable devices can support clinical decisions and how AI could expand their capabilities. Offers policy options addressing evidence, reliability, integration, and patient benefit.", "publication_date": "2026-08-06", "public_release_date": "2026-08-06", "publication_year": 2026, "source_url": "https://www.gao.gov/products/gao-26-107847", "pdf_url": "https://www.gao.gov/assets/gao-26-107847.pdf", "full_text_url": null, "topics": [ "Health and medicine", "Responsible AI", "AI applications" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "A stated assessment objective covers AI augmentation of wearable decision-making.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-26-109116", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Science & Tech Spotlight", "source_reference_id": "GAO-26-109116", "title": "Science & Tech Spotlight: AI for Medical Notes and Coding", "summary": "Explains AI tools for drafting clinical notes and assigning medical billing codes. Reviews potential time savings and concerns about accuracy, privacy, consent, reimbursement, and health spending.", "publication_date": "2026-07-16", "public_release_date": "2026-07-16", "publication_year": 2026, "source_url": "https://www.gao.gov/products/gao-26-109116", "pdf_url": "https://www.gao.gov/assets/gao-26-109116.pdf", "full_text_url": null, "topics": [ "Health and medicine", "Generative AI", "Agentic AI" ], "ai_relevance": "Core AI", "relevance_note": "Dedicated spotlight on AI scribes and coding tools.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-26-107904", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-26-107904", "title": "National Nuclear Security Administration: Additional Actions Needed to Plan for Science, Technology, and Engineering Facilities and Workforce Investments", "summary": "Reviews NNSA planning for science, technology, engineering facilities, and workforce investments. Analyzes how new AI priorities affect facility needs and recommends updated investment assessments.", "publication_date": "2026-07-15", "public_release_date": "2026-07-15", "publication_year": 2026, "source_url": "https://www.gao.gov/products/gao-26-107904", "pdf_url": "https://www.gao.gov/assets/gao-26-107904.pdf", "full_text_url": "https://files.gao.gov/reports/GAO-26-107904/index.html", "topics": [ "National security", "Research and development", "Environment and energy" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "The full report substantively discusses AI-driven changes to research infrastructure priorities.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-26-109137", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Testimony", "source_reference_id": "GAO-26-109137", "title": "VA Disability Benefits: Opportunities and Challenges to Modernizing Technology and Adopting AI", "summary": "Testifies on VA disability-benefit IT modernization and potential AI-assisted claims processing. Discusses risks involving transparency, error detection, resource needs, and accountability.", "publication_date": "2026-07-13", "public_release_date": "2026-07-10", "publication_year": 2026, "source_url": "https://www.gao.gov/products/gao-26-109137", "pdf_url": "https://www.gao.gov/assets/gao-26-109137.pdf", "full_text_url": null, "topics": [ "Federal management", "Responsible AI", "AI applications" ], "ai_relevance": "Core AI", "relevance_note": "AI adoption in disability-benefit administration is an explicit testimony objective.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [ "GAO lists a public-release date before the publication date. Both dates are retained as displayed.", "Distinct GAO product; may summarize earlier reports rather than represent a new audit." ] }, { "id": "gao:gao-26-107466", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-26-107466", "title": "Federal Data: Congressional Action Needed to Improve Interoperability of Award and Payment Eligibility Data", "summary": "Reviews federal award and payment eligibility data. Finds quality and interoperability weaknesses that impede eligibility checks and reliable AI-assisted detection of improper payments, and calls for stronger data governance.", "publication_date": "2026-06-16", "public_release_date": "2026-06-16", "publication_year": 2026, "source_url": "https://www.gao.gov/products/gao-26-107466", "pdf_url": "https://www.gao.gov/assets/gao-26-107466.pdf", "full_text_url": "https://files.gao.gov/reports/GAO-26-107466/index.html", "topics": [ "Data governance", "Fraud and improper payments", "Federal management" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Explains and evaluates data prerequisites for AI-enabled eligibility and fraud analytics.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-26-107624", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Framework", "source_reference_id": "GAO-26-107624", "title": "Artificial Intelligence: A Framework to Assess U.S. Competitiveness and Inform Policy Options", "summary": "Provides a framework for assessing U.S. AI competitiveness and identifying policy options. Organizes analysis around science and technology, human capital, governance, and the economy.", "publication_date": "2026-05-21", "public_release_date": "2026-05-21", "publication_year": 2026, "source_url": "https://www.gao.gov/products/gao-26-107624", "pdf_url": "https://www.gao.gov/assets/gao-26-107624.pdf", "full_text_url": null, "topics": [ "Strategy and policy", "Research and development", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "Dedicated national AI competitiveness framework.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-26-109115", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-26-109115", "title": "DOD Financial Management: Questions Associated with New Financial Audit Approach", "summary": "Examines DOD's revised approach to achieving a clean financial audit. Discusses planned AI and analytics use and raises questions about controls, evidence, accountability, and sustainability.", "publication_date": "2026-05-13", "public_release_date": "2026-05-13", "publication_year": 2026, "source_url": "https://www.gao.gov/products/gao-26-109115", "pdf_url": "https://www.gao.gov/assets/gao-26-109115.pdf", "full_text_url": "https://files.gao.gov/reports/GAO-26-109115/index.html", "topics": [ "Federal management", "Fraud and improper payments", "National security" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI is an explicit element of the revised audit strategy assessed by GAO.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-26-107828", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-26-107828", "title": "Artificial Intelligence: Uses and Risks for Small Business Contracting and Innovation Research", "summary": "Examines potential AI uses and risks in small-business contracting and innovation research. Discusses market research, proposal review, fraud prevention, and SBA's AI use-case reporting responsibilities.", "publication_date": "2026-05-04", "public_release_date": "2026-05-04", "publication_year": 2026, "source_url": "https://www.gao.gov/products/gao-26-107828", "pdf_url": "https://www.gao.gov/assets/gao-26-107828.pdf", "full_text_url": null, "topics": [ "Procurement", "Research and development", "Fraud and improper payments" ], "ai_relevance": "Core AI", "relevance_note": "AI applications in procurement and small-business research are the principal topic.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-26-109012", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Science & Tech Spotlight", "source_reference_id": "GAO-26-109012", "title": "Science & Tech Spotlight: Data Centers in Space", "summary": "Explains proposals for space-based data centers serving AI and other computing needs. Discusses energy, cooling, engineering, economics, and orbital-management challenges.", "publication_date": "2026-04-28", "public_release_date": "2026-04-28", "publication_year": 2026, "source_url": "https://www.gao.gov/products/gao-26-109012", "pdf_url": "https://www.gao.gov/assets/gao-26-109012.pdf", "full_text_url": null, "topics": [ "Environment and energy", "Research and development", "AI infrastructure" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI training infrastructure is a substantive proposed use and design driver.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-26-107859", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-26-107859", "title": "Artificial Intelligence Acquisitions: Agencies Should Collect and Apply Lessons Learned to Improve Future Procurements", "summary": "Reviews federal AI acquisition approaches and challenges, including technical expertise, cost, and contracting choices. Recommends agency policies for systematically collecting and sharing acquisition lessons.", "publication_date": "2026-04-13", "public_release_date": "2026-04-13", "publication_year": 2026, "source_url": "https://www.gao.gov/products/gao-26-107859", "pdf_url": "https://www.gao.gov/assets/gao-26-107859.pdf", "full_text_url": "https://files.gao.gov/reports/GAO-26-107859/index.html", "topics": [ "Procurement", "Responsible AI", "Federal management" ], "ai_relevance": "Core AI", "relevance_note": "AI procurement is the report's central subject.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-26-107681", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-26-107681", "title": "Artificial Intelligence: OMB Action Needed to Address Privacy-Related Gaps in Federal Guidance", "summary": "Identifies privacy risks and implementation challenges in federal AI use. Finds gaps in OMB guidance and recommends more direction on protecting sensitive data and addressing those challenges.", "publication_date": "2026-03-26", "public_release_date": "2026-03-26", "publication_year": 2026, "source_url": "https://www.gao.gov/products/gao-26-107681", "pdf_url": "https://www.gao.gov/assets/gao-26-107681.pdf", "full_text_url": "https://files.gao.gov/reports/GAO-26-107681/index.html", "topics": [ "Privacy and civil rights", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI privacy risks and federal guidance are the central subject.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-26-107522", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-26-107522", "title": "Artificial Intelligence: IRS Actions Needed to Address Skills Gaps, Information Quality, and Strategic Management", "summary": "Reviews IRS's AI use, workforce capacity, inventory quality, and strategic investment management. Recommends a workforce plan, better inventory controls, and stronger alignment with agency goals.", "publication_date": "2026-03-24", "public_release_date": "2026-03-24", "publication_year": 2026, "source_url": "https://www.gao.gov/products/gao-26-107522", "pdf_url": "https://www.gao.gov/assets/gao-26-107522.pdf", "full_text_url": "https://files.gao.gov/reports/GAO-26-107522/index.html", "topics": [ "Tax administration", "Workforce", "Data governance" ], "ai_relevance": "Core AI", "relevance_note": "Agency-wide AI management is the principal subject.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-26-107680", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-26-107680", "title": "Weather Safety: Agencies Face Challenges Related to Multilingual Weather Alerts, and AI Project Needs Better Planning", "summary": "Examines multilingual weather alerts and NWS's AI translation project. Recommends a plan with goals and resource needs to guide deployment and improve access to warnings.", "publication_date": "2026-01-26", "public_release_date": "2026-01-26", "publication_year": 2026, "source_url": "https://www.gao.gov/products/gao-26-107680", "pdf_url": "https://www.gao.gov/assets/gao-26-107680.pdf", "full_text_url": null, "topics": [ "AI applications", "Environment and energy", "State and local government" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "A major report finding and recommendation concern AI translation of weather information.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-26-108850", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Testimony", "source_reference_id": "GAO-26-108850", "title": "Fraud and Improper Payments: Data Quality and a Skilled Workforce Are Essential for Realizing Artificial Intelligence’s Benefits", "summary": "Testifies on using AI and analytics to combat fraud and improper payments. Emphasizes reliable data, human oversight, and an adequately skilled federal workforce.", "publication_date": "2026-01-13", "public_release_date": "2026-01-13", "publication_year": 2026, "source_url": "https://www.gao.gov/products/gao-26-108850", "pdf_url": "https://www.gao.gov/assets/gao-26-108850.pdf", "full_text_url": null, "topics": [ "Fraud and improper payments", "Data governance", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI opportunities and constraints are central to the testimony.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [ "Distinct GAO product; may summarize earlier reports rather than represent a new audit." ] }, { "id": "gao:gao-25-107201", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-25-107201", "title": "Property Technology for Homebuying: Products Present Benefits and Risks Amid Evolving Federal Oversight", "summary": "Examines digital homebuying and mortgage tools, including AI-driven advertising, chatbots, and underwriting. Discusses fair-lending risks and recommends clearer oversight of enterprise technologies.", "publication_date": "2025-09-22", "public_release_date": "2025-12-01", "publication_year": 2025, "source_url": "https://www.gao.gov/products/gao-25-107201", "pdf_url": "https://www.gao.gov/assets/gao-25-107201.pdf", "full_text_url": "https://files.gao.gov/reports/GAO-25-107201/index.html", "topics": [ "Financial and consumer protection", "Privacy and civil rights" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Substantive analysis of AI risks throughout homebuying and housing finance.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-25-108739", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Testimony", "source_reference_id": "GAO-25-108739", "title": "Veterans Affairs: Key AI Practices Could Help Address Challenges", "summary": "Testifies on VA's AI adoption and challenges involving workforce, acquisition, policy compliance, resources, and sensitive data. Explains how GAO's accountability framework can help.", "publication_date": "2025-09-15", "public_release_date": "2025-09-11", "publication_year": 2025, "source_url": "https://www.gao.gov/products/gao-25-108739", "pdf_url": "https://www.gao.gov/assets/gao-25-108739.pdf", "full_text_url": "https://files.gao.gov/reports/GAO-25-108739/index.html", "topics": [ "Health and medicine", "Federal management", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "VA's AI use and management are the central subject.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [ "GAO lists a public-release date before the publication date. Both dates are retained as displayed.", "Distinct GAO product; may summarize earlier reports rather than represent a new audit." ] }, { "id": "gao:gao-25-108519", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Science & Tech Spotlight", "source_reference_id": "GAO-25-108519", "title": "Science & Tech Spotlight: AI Agents", "summary": "Explains AI agents that can plan and act to accomplish tasks. Examines current limitations, potential productivity benefits, misuse, oversight, testing, and workforce implications.", "publication_date": "2025-09-10", "public_release_date": "2025-09-10", "publication_year": 2025, "source_url": "https://www.gao.gov/products/gao-25-108519", "pdf_url": "https://www.gao.gov/assets/gao-25-108519.pdf", "full_text_url": null, "topics": [ "Agentic AI", "Responsible AI", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "Dedicated spotlight on agentic AI.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-25-107933", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-25-107933", "title": "Artificial Intelligence: Federal Efforts Guided by Requirements and Advisory Groups", "summary": "Inventories government-wide AI requirements from laws, executive orders, and guidance and identifies executive-branch oversight and advisory groups. Describes the requirements current at the report's cutoff.", "publication_date": "2025-09-09", "public_release_date": "2025-09-09", "publication_year": 2025, "source_url": "https://www.gao.gov/products/gao-25-107933", "pdf_url": "https://www.gao.gov/assets/gao-25-107933.pdf", "full_text_url": "https://files.gao.gov/reports/GAO-25-107933/index.html", "topics": [ "Strategy and policy", "Federal management" ], "ai_relevance": "Core AI", "relevance_note": "Federal AI requirements and governance bodies are the full report's subject.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-25-107653", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-25-107653", "title": "Artificial Intelligence: Generative AI Use and Management at Federal Agencies", "summary": "Reviews selected agencies' generative AI uses, benefits, and management challenges. Documents rapid growth in reported use cases and barriers involving policy, technical capacity, resources, and workforce.", "publication_date": "2025-07-29", "public_release_date": "2025-07-29", "publication_year": 2025, "source_url": "https://www.gao.gov/products/gao-25-107653", "pdf_url": "https://www.gao.gov/assets/gao-25-107653.pdf", "full_text_url": "https://files.gao.gov/reports/GAO-25-107653/index.html", "topics": [ "Generative AI", "Federal management", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "Audits federal generative AI adoption and management.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-25-107508", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-25-107508", "title": "Fraud Risk in Federal Programs: Continuing Threat from Organized Groups Since COVID-19", "summary": "Examines organized fraud targeting federal programs. Explains how AI and bots help criminals submit claims at scale and how evolving tactics, data silos, and capacity constraints impede detection.", "publication_date": "2025-07-10", "public_release_date": "2025-07-10", "publication_year": 2025, "source_url": "https://www.gao.gov/products/gao-25-107508", "pdf_url": "https://www.gao.gov/assets/gao-25-107508.pdf", "full_text_url": null, "topics": [ "Fraud and improper payments", "AI applications", "State and local government" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Specific AI-enabled fraud methods and enforcement challenges are analyzed.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-25-107196", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-25-107196", "title": "Rental Housing: Use and Federal Oversight of Property Technology", "summary": "Reviews rental-housing technologies for tenant screening, advertising, rent setting, and building access. Discusses algorithmic discrimination and facial-recognition privacy risks and recommends stronger oversight in public housing.", "publication_date": "2025-07-10", "public_release_date": "2025-08-11", "publication_year": 2025, "source_url": "https://www.gao.gov/products/gao-25-107196", "pdf_url": "https://www.gao.gov/assets/gao-25-107196.pdf", "full_text_url": "https://files.gao.gov/reports/GAO-25-107196/index.html", "topics": [ "Financial and consumer protection", "Privacy and civil rights", "State and local government" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI and algorithmic decision-making are central to the housing tools and risks reviewed.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-25-108589", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Testimony", "source_reference_id": "GAO-25-108589", "title": "Wildfire Management: Technologies for Forecasting, Detection, Mitigation, and Response", "summary": "Testifies on wildfire forecasting, detection, mitigation, and response technologies. Includes AI-enabled camera networks and machine-learning forecasting, with implementation and data challenges.", "publication_date": "2025-06-26", "public_release_date": "2025-06-26", "publication_year": 2025, "source_url": "https://www.gao.gov/products/gao-25-108589", "pdf_url": "https://www.gao.gov/assets/gao-25-108589.pdf", "full_text_url": "https://files.gao.gov/reports/GAO-25-108589/index.html", "topics": [ "Environment and energy", "AI applications", "State and local government" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI-based detection and forecasting are substantive components of the testimony.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [ "Distinct GAO product; may summarize earlier reports rather than represent a new audit." ] }, { "id": "gao:gao-25-107197", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-25-107197", "title": "Artificial Intelligence: Use and Oversight in Financial Services", "summary": "Examines financial institutions' AI use, regulators' oversight, and regulators' own applications. Identifies benefits and risks and recommends stronger NCUA model-risk guidance.", "publication_date": "2025-05-19", "public_release_date": "2025-05-19", "publication_year": 2025, "source_url": "https://www.gao.gov/products/gao-25-107197", "pdf_url": "https://www.gao.gov/assets/gao-25-107197.pdf", "full_text_url": "https://files.gao.gov/reports/GAO-25-107197/index.html", "topics": [ "Financial and consumer protection", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI use and regulation in financial services are the focus.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-25-108161", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Science & Tech Spotlight", "source_reference_id": "GAO-25-108161", "title": "Science & Tech Spotlight: Wildfire Detection Technologies", "summary": "Explains wildfire detection using satellites, aircraft, cameras, and sensors. Reviews AI-based image analysis, false-alert reduction, data integration, deployment choices, and privacy concerns.", "publication_date": "2025-05-01", "public_release_date": "2025-05-01", "publication_year": 2025, "source_url": "https://www.gao.gov/products/gao-25-108161", "pdf_url": "https://www.gao.gov/assets/gao-25-108161.pdf", "full_text_url": null, "topics": [ "Environment and energy", "AI applications", "State and local government" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI detection algorithms and deployed camera systems receive substantive treatment.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-25-107019", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-25-107019", "title": "Smart Cities: Technologies and Policy Options to Enhance Services and Transparency", "summary": "Assesses smart-city transportation and law-enforcement technologies and policy options. Includes machine-learning-supported on-demand transit and privacy concerns involving AI-assisted surveillance databases.", "publication_date": "2025-04-30", "public_release_date": "2025-04-30", "publication_year": 2025, "source_url": "https://www.gao.gov/products/gao-25-107019", "pdf_url": "https://www.gao.gov/assets/gao-25-107019.pdf", "full_text_url": null, "topics": [ "State and local government", "Transportation and autonomy", "Privacy and civil rights" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Full report discusses specific AI and machine-learning applications in city services.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-25-107172", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-25-107172", "title": "Artificial Intelligence: Generative AI's Environmental and Human Effects", "summary": "Assesses generative AI's environmental and human effects, including electricity and water demand, labor-market change, misinformation, and uncertainty in measurement. Offers policy options to address challenges.", "publication_date": "2025-04-22", "public_release_date": "2025-04-22", "publication_year": 2025, "source_url": "https://www.gao.gov/products/gao-25-107172", "pdf_url": "https://www.gao.gov/assets/gao-25-107172.pdf", "full_text_url": null, "topics": [ "Generative AI", "Environment and energy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "Generative AI impacts are the central subject.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-25-108412", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Testimony", "source_reference_id": "GAO-25-108412", "title": "Fraud and Improper Payments: Data Quality and a Skilled Workforce Are Essential for Unlocking the Benefits of Artificial Intelligence", "summary": "Testifies on opportunities and challenges for using AI to detect fraud and improper payments. Emphasizes high-quality data, accountable model use, and federal workforce capacity.", "publication_date": "2025-04-09", "public_release_date": "2025-04-09", "publication_year": 2025, "source_url": "https://www.gao.gov/products/gao-25-108412", "pdf_url": "https://www.gao.gov/assets/gao-25-108412.pdf", "full_text_url": "https://files.gao.gov/reports/GAO-25-108412/index.html", "topics": [ "Fraud and improper payments", "Data governance", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI-enabled fraud prevention is a principal testimony objective.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [ "Distinct GAO product; may summarize earlier reports rather than represent a new audit." ] }, { "id": "gao:gao-25-107743", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-25-107743", "title": "High-Risk Series: Heightened Attention Could Save Billions More and Improve Government Efficiency and Effectiveness", "summary": "Updates GAO's government-wide high-risk areas. AI-relevant sections address responsible cybersecurity use and federal workforce classification and skills needed to attract and retain AI expertise.", "publication_date": "2025-02-25", "public_release_date": "2025-02-25", "publication_year": 2025, "source_url": "https://www.gao.gov/products/gao-25-107743", "pdf_url": "https://www.gao.gov/assets/gao-25-107743.pdf", "full_text_url": "https://files.gao.gov/reports/GAO-25-107743/index.html", "topics": [ "Federal management", "Workforce", "Cybersecurity" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Includes substantive AI workforce and cybersecurity discussions within a much broader report.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-25-107435", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-25-107435", "title": "Artificial Intelligence: DHS Needs to Improve Risk Assessment Guidance for Critical Infrastructure Sectors", "summary": "Reviews AI risk assessments for critical infrastructure and finds gaps in assessing likelihood, impact, and risk mitigation. Recommends improved DHS guidance and review processes.", "publication_date": "2024-12-18", "public_release_date": "2024-12-18", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-25-107435", "pdf_url": "https://www.gao.gov/assets/gao-25-107435.pdf", "full_text_url": "https://files.gao.gov/reports/GAO-25-107435/index.html", "topics": [ "Cybersecurity", "Environment and energy", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "AI risks to critical infrastructure are the principal subject.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-25-106952", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-25-106952", "title": "Brain-Computer Interfaces: Applications, Challenges, and Policy Options", "summary": "Assesses brain-computer interfaces and policy options for privacy, access, and long-term support. Explains how AI improves calibration and speech prediction and discusses resulting benefits and risks.", "publication_date": "2024-12-17", "public_release_date": "2024-12-17", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-25-106952", "pdf_url": "https://www.gao.gov/assets/gao-25-106952.pdf", "full_text_url": null, "topics": [ "Health and medicine", "Privacy and civil rights", "Research and development" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Contains a dedicated explanation and examples of AI-enabled interface capabilities.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-25-107302", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-25-107302", "title": "Law Enforcement: DHS Could Better Address Bias Risk and Enhance Privacy Protections for Technologies Used in Public", "summary": "Reviews DHS monitoring and detection technologies used in public, including facial recognition and AI-enabled analytics. Recommends stronger privacy protections and bias-risk evaluation.", "publication_date": "2024-12-03", "public_release_date": "2024-12-03", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-25-107302", "pdf_url": "https://www.gao.gov/assets/gao-25-107302.pdf", "full_text_url": null, "topics": [ "Law enforcement", "Privacy and civil rights", "Responsible AI" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI-enabled surveillance and bias evaluation are explicit findings.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-25-106057", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-25-106057", "title": "Information Technology: Government-Wide Guidance on Handling Data Could Improve Civil Rights and Civil Liberties Protections", "summary": "Examines agencies' protection of civil rights and civil liberties when collecting and using personal data. Highlights AI and facial-recognition risks and recommends government-wide direction.", "publication_date": "2024-11-19", "public_release_date": "2024-11-19", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-25-106057", "pdf_url": "https://www.gao.gov/assets/gao-25-106057.pdf", "full_text_url": null, "topics": [ "Privacy and civil rights", "Data governance", "Strategy and policy" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI-enabled use of personal data is a substantive motivation and oversight issue.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-25-107651", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-25-107651", "title": "Artificial Intelligence: Generative AI Training, Development, and Deployment Considerations", "summary": "Assesses how commercial developers train, test, and deploy generative AI. Describes evaluation and red-teaming practices and their limitations in ensuring reliable and safe models.", "publication_date": "2024-10-22", "public_release_date": "2024-10-22", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-25-107651", "pdf_url": "https://www.gao.gov/assets/gao-25-107651.pdf", "full_text_url": null, "topics": [ "Generative AI", "Responsible AI", "Research and development" ], "ai_relevance": "Core AI", "relevance_note": "Generative AI development and evaluation are central.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-24-107634", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Science & Tech Spotlight", "source_reference_id": "GAO-24-107634", "title": "Science & Tech Spotlight: Generative AI in Health Care", "summary": "Examines generative AI in drug development, medical imaging, clinical trials, and administrative work. Highlights limited real-world validation, erroneous outputs, and patient-data risks.", "publication_date": "2024-09-09", "public_release_date": "2024-09-09", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-24-107634", "pdf_url": "https://www.gao.gov/assets/gao-24-107634.pdf", "full_text_url": null, "topics": [ "Generative AI", "Health and medicine", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "Dedicated spotlight on generative AI in health care.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-24-107332", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-24-107332", "title": "Artificial Intelligence: Agencies Are Implementing Management and Personnel Requirements", "summary": "Assesses selected management and talent requirements in Executive Order 14110. Reports completion of the 13 requirements reviewed, describing the government's implementation position at that time.", "publication_date": "2024-09-09", "public_release_date": "2024-09-09", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-24-107332", "pdf_url": "https://www.gao.gov/assets/gao-24-107332.pdf", "full_text_url": null, "topics": [ "Federal management", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "Audits specific federal AI governance and personnel requirements.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-24-107059", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-24-107059", "title": "Coast Guard: Autonomous Ships and Efforts to Regulate Them", "summary": "Examines commercial autonomous ships and Coast Guard regulation. Discusses AI-enabled sensing and navigation, safety and cybersecurity risks, human oversight, and regulatory constraints.", "publication_date": "2024-08-08", "public_release_date": "2024-08-08", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-24-107059", "pdf_url": "https://www.gao.gov/assets/gao-24-107059.pdf", "full_text_url": null, "topics": [ "Transportation and autonomy", "Strategy and policy", "Procurement" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI and machine learning are part of the autonomous systems and liability questions assessed.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-24-106665", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-24-106665", "title": "Immersive Technologies: Most Civilian Agencies Are Using or Plan to Use Augmented Reality, Virtual Reality, and More", "summary": "Inventories civilian agencies' immersive-technology activities and challenges. Includes substantive AI applications such as synthetic-image training, brain-computer interfaces, and AI-informed digital twins.", "publication_date": "2024-08-08", "public_release_date": "2024-08-22", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-24-106665", "pdf_url": "https://www.gao.gov/assets/gao-24-106665.pdf", "full_text_url": null, "topics": [ "Federal management", "AI applications", "Research and development" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Detailed agency project inventory contains multiple explicit AI and machine-learning uses.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-24-106886", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-24-106886", "title": "National Institute on Aging: Leading Project Management Practices Are Important for Large-Scale Health Data Efforts", "summary": "Reviews NIA's planned real-world Alzheimer's data platform, intended to use AI and machine learning. Finds weaknesses in cost estimation and project management; NIA subsequently decided not to fund the platform.", "publication_date": "2024-07-23", "public_release_date": "2024-07-23", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-24-106886", "pdf_url": "https://www.gao.gov/assets/gao-24-106886.pdf", "full_text_url": null, "topics": [ "Health and medicine", "Federal management", "Data governance" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "The AI-enabled research platform is the project under review; findings primarily concern its management.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-24-106946", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-24-106946", "title": "Artificial Intelligence: Generative AI Technologies and Their Commercial Applications", "summary": "Explains generative AI architectures, training, capabilities, and commercial applications. Discusses differences from other AI systems and risks including disinformation and workforce effects.", "publication_date": "2024-06-20", "public_release_date": "2024-06-20", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-24-106946", "pdf_url": "https://www.gao.gov/assets/gao-24-106946.pdf", "full_text_url": null, "topics": [ "Generative AI", "Research and development", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "Technology assessment centered on generative AI.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-24-106449", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-24-106449", "title": "Tax Gap: IRS Should Take Steps to Ensure Continued Improvement in Estimates", "summary": "Reviews tax-gap estimation and IRS's pilot AI approach to selecting research audits. Finds gaps in model documentation and controls and recommends improvements to transparency and consistency.", "publication_date": "2024-05-06", "public_release_date": "2024-06-05", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-24-106449", "pdf_url": "https://www.gao.gov/assets/gao-24-106449.pdf", "full_text_url": null, "topics": [ "Tax administration", "Responsible AI", "Data governance" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "A dedicated finding evaluates AI audit-sampling models against accountability practices.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-24-106126", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-24-106126", "title": "Tax Enforcement: IRS Audit Selection Processes for Returns Claiming Refundable Credits Could Better Address Equity", "summary": "Examines equity in IRS audits of refundable tax credits. Evaluates automated selection systems and potential biases in their data, rules, and assumptions, and recommends stronger safeguards.", "publication_date": "2024-04-25", "public_release_date": "2024-05-21", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-24-106126", "pdf_url": "https://www.gao.gov/assets/gao-24-106126.pdf", "full_text_url": null, "topics": [ "Tax administration", "Privacy and civil rights", "Responsible AI" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Full report explicitly analyzes first- and second-wave AI in audit selection.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-24-106293", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-24-106293", "title": "Biometric Identification Technologies: Considerations to Address Information Gaps and Other Stakeholder Concerns", "summary": "Examines biometric technologies' effects on underserved communities. Discusses demographic performance differences, training-data gaps, limited real-world evidence, and options for accountability.", "publication_date": "2024-04-22", "public_release_date": "2024-04-22", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-24-106293", "pdf_url": "https://www.gao.gov/assets/gao-24-106293.pdf", "full_text_url": null, "topics": [ "Privacy and civil rights", "Law enforcement", "Responsible AI" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Substantive assessment of biometric algorithms, including facial recognition and dataset bias.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-24-106498", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-24-106498", "title": "Port Infrastructure: U.S. Ports Have Adopted Some Automation Technologies and Report Varied Effects", "summary": "Examines automation at major container ports and its effects on operations and workers. Includes AI-enabled process optimization, truck coordination, emissions reduction, and eligible technology investments.", "publication_date": "2024-03-19", "public_release_date": "2024-03-19", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-24-106498", "pdf_url": "https://www.gao.gov/assets/d24106498.pdf", "full_text_url": null, "topics": [ "Transportation and autonomy", "Workforce", "Environment and energy" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Full report discusses specific port AI applications and their operational effects.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-24-107292", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Science & Tech Spotlight", "source_reference_id": "GAO-24-107292", "title": "Science & Tech Spotlight: Combating Deepfakes", "summary": "Reviews deepfake detection, watermarking, and other authentication approaches. Explains why technical detection alone may not stop exploitation, disinformation, or other harms.", "publication_date": "2024-03-11", "public_release_date": "2024-03-11", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-24-107292", "pdf_url": "https://www.gao.gov/assets/d24107292.pdf", "full_text_url": null, "topics": [ "Generative AI", "Disinformation", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "AI-generated media and countermeasures are the focus.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-24-107372", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Testimony", "source_reference_id": "GAO-24-107372", "title": "Facial Recognition Technology: Federal Law Enforcement Agency Efforts Related to Civil Rights and Training", "summary": "Updates Congress on facial-recognition training, civil-rights policies, and agency responses to GAO's earlier recommendations.", "publication_date": "2024-03-08", "public_release_date": "2024-03-07", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-24-107372", "pdf_url": "https://www.gao.gov/assets/gao-24-107372.pdf", "full_text_url": null, "topics": [ "Law enforcement", "Privacy and civil rights", "Workforce" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Testimony directly concerns safeguards for facial-recognition use.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [ "GAO lists a public-release date before the publication date. Both dates are retained as displayed.", "Distinct GAO product; may summarize earlier reports rather than represent a new audit." ] }, { "id": "gao:gao-24-106246", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-24-106246", "title": "Artificial Intelligence: Fully Implementing Key Practices Could Help DHS Ensure Responsible Use for Cybersecurity", "summary": "Reviews DHS's AI cybersecurity inventory and application of accountability practices. Finds one listed use was not AI and identifies gaps in data reliability and performance assessment.", "publication_date": "2024-02-07", "public_release_date": "2024-02-07", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-24-106246", "pdf_url": "https://www.gao.gov/assets/gao-24-106246.pdf", "full_text_url": null, "topics": [ "Cybersecurity", "Responsible AI", "Data governance" ], "ai_relevance": "Core AI", "relevance_note": "Audits responsible AI use for cybersecurity.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-24-105962", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-24-105962", "title": "Precision Agriculture: Benefits and Challenges for Technology Adoption and Use", "summary": "Assesses precision agriculture, including machine-learning sprayers and automated weeders. Discusses benefits and barriers involving cost, data ownership, interoperability, and adoption.", "publication_date": "2024-01-31", "public_release_date": "2024-01-31", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-24-105962", "pdf_url": "https://www.gao.gov/assets/d24105962.pdf", "full_text_url": null, "topics": [ "Agriculture", "AI applications", "Strategy and policy" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Specific machine-learning applications and AI adoption barriers are analyzed.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-24-107237", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Testimony", "source_reference_id": "GAO-24-107237", "title": "Artificial Intelligence: GAO's Work to Leverage Technology and Ensure Responsible Use", "summary": "Describes GAO's internal AI experiments and tools, including a large language model, and summarizes its broader AI oversight work. Explains how practical experience informs evaluation of other agencies.", "publication_date": "2024-01-30", "public_release_date": "2024-01-29", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-24-107237", "pdf_url": "https://www.gao.gov/assets/d24107237.pdf", "full_text_url": null, "topics": [ "Federal management", "Responsible AI", "Generative AI" ], "ai_relevance": "Core AI", "relevance_note": "Testimony focused on GAO's AI use and oversight portfolio.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [ "GAO lists a public-release date before the publication date. Both dates are retained as displayed.", "Distinct GAO product; may summarize earlier reports rather than represent a new audit." ] }, { "id": "gao:gao-24-106122", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-24-106122", "title": "Federal Regulation: Selected Emerging Technologies Highlight the Need for Legislative Analysis and Enhanced Coordination", "summary": "Reviews how agencies regulate emerging technologies. The AI-specific findings address FDA's authority to oversee AI-enabled medical devices and the need to communicate legislative needs clearly.", "publication_date": "2024-01-25", "public_release_date": "2024-01-25", "publication_year": 2024, "source_url": "https://www.gao.gov/products/gao-24-106122", "pdf_url": "https://www.gao.gov/assets/gao-24-106122.pdf", "full_text_url": null, "topics": [ "Strategy and policy", "Health and medicine", "Responsible AI" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI medical-device regulation is a substantive case study and recommendation area.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-24-106213", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-24-106213", "title": "Artificial Intelligence in Natural Hazard Modeling: Severe Storms, Hurricanes, Floods, and Wildfires", "summary": "Assesses machine learning for forecasting severe storms, hurricanes, floods, and wildfires. Identifies potential improvements and barriers involving data, model integration, expertise, and adoption.", "publication_date": "2023-12-14", "public_release_date": "2023-12-14", "publication_year": 2023, "source_url": "https://www.gao.gov/products/gao-24-106213", "pdf_url": "https://www.gao.gov/assets/d24106213.pdf", "full_text_url": null, "topics": [ "Environment and energy", "AI applications", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI in natural-hazard modeling is the central subject.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-24-105645", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-24-105645", "title": "Artificial Intelligence: Actions Needed to Improve DOD's Workforce Management", "summary": "Finds DOD has not fully defined and identified its AI workforce, limiting its ability to assess current capacity and forecast needs. Recommends clearer responsibilities and timelines.", "publication_date": "2023-12-14", "public_release_date": "2023-12-14", "publication_year": 2023, "source_url": "https://www.gao.gov/products/gao-24-105645", "pdf_url": "https://www.gao.gov/assets/gao-24-105645.pdf", "full_text_url": null, "topics": [ "Workforce", "National security" ], "ai_relevance": "Core AI", "relevance_note": "AI workforce management is the central subject.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-24-105980", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-24-105980", "title": "Artificial Intelligence: Agencies Have Begun Implementation but Need to Complete Key Requirements", "summary": "Reviews agency AI inventories and compliance with federal AI requirements. Finds incomplete implementation and recommends improvements to guidance, inventories, governance, and related plans.", "publication_date": "2023-12-12", "public_release_date": "2023-12-12", "publication_year": 2023, "source_url": "https://www.gao.gov/products/gao-24-105980", "pdf_url": "https://www.gao.gov/assets/gao-24-105980.pdf", "full_text_url": null, "topics": [ "Federal management", "Strategy and policy", "Data governance" ], "ai_relevance": "Core AI", "relevance_note": "Government-wide AI implementation is the central subject.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-23-106930", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Science & Tech Spotlight", "source_reference_id": "GAO-23-106930", "title": "Science & Tech Spotlight: Drone Swarm Technologies", "summary": "Explains how algorithms and sensors allow drone swarms to coordinate with limited human control. Discusses AI-enabled civilian and defense opportunities and safety, privacy, and security concerns.", "publication_date": "2023-09-14", "public_release_date": "2023-09-14", "publication_year": 2023, "source_url": "https://www.gao.gov/products/gao-23-106930", "pdf_url": "https://www.gao.gov/assets/gao-23-106930.pdf", "full_text_url": null, "topics": [ "Transportation and autonomy", "National security", "AI applications" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Coordinated autonomous behavior and enabling AI are substantive technical topics.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-23-106168", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-23-106168", "title": "Financial Technology: Agencies Can Better Support Workforce Expertise and Measure the Performance of Innovation Offices", "summary": "Reviews financial regulators' expertise, innovation offices, and supervisory technology. Examines machine-learning tools for identifying risk and recommends better workforce planning and performance measurement.", "publication_date": "2023-09-06", "public_release_date": "2023-10-06", "publication_year": 2023, "source_url": "https://www.gao.gov/products/gao-23-106168", "pdf_url": "https://www.gao.gov/assets/gao-23-106168.pdf", "full_text_url": null, "topics": [ "Financial and consumer protection", "Workforce", "Federal management" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI and machine learning are substantive components of the capabilities and skills reviewed.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-23-105607", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-23-105607", "title": "Facial Recognition Services: Federal Law Enforcement Agencies Should Take Actions to Implement Training, and Policies for Civil Liberties", "summary": "Reviews federal criminal investigators' use of commercial and nonprofit facial-recognition services. Recommends stronger training requirements and policies protecting civil rights and liberties.", "publication_date": "2023-09-05", "public_release_date": "2023-09-12", "publication_year": 2023, "source_url": "https://www.gao.gov/products/gao-23-105607", "pdf_url": "https://www.gao.gov/assets/gao-23-105607.pdf", "full_text_url": null, "topics": [ "Law enforcement", "Privacy and civil rights", "Workforce" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Audits safeguards for operational facial-recognition searches.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-23-106020", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-23-106020", "title": "Tax Enforcement: IRS Audit Processes Can Be Strengthened to Address a Growing Number of Large, Complex Partnerships", "summary": "Reviews IRS selection of large partnerships for audit. Assesses an AI-based compliance model and recommends better evaluation and documentation to improve targeting of tax noncompliance.", "publication_date": "2023-07-27", "public_release_date": "2023-07-27", "publication_year": 2023, "source_url": "https://www.gao.gov/products/gao-23-106020", "pdf_url": "https://www.gao.gov/assets/gao-23-106020.pdf", "full_text_url": null, "topics": [ "Tax administration", "Responsible AI", "Data governance" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "The report evaluates IRS's AI model for selecting partnership audits.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-23-105850", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-23-105850", "title": "Artificial Intelligence: DOD Needs Department-Wide Guidance to Inform Acquisitions", "summary": "Compares private-sector AI acquisition practices with DOD's approach. Recommends department-wide guidance addressing factors such as data rights, intellectual property, and AI-specific procurement risks.", "publication_date": "2023-06-29", "public_release_date": "2023-06-29", "publication_year": 2023, "source_url": "https://www.gao.gov/products/gao-23-105850", "pdf_url": "https://www.gao.gov/assets/gao-23-105850.pdf", "full_text_url": null, "topics": [ "Procurement", "National security", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI procurement is the principal subject.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-23-106782", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Science & Tech Spotlight", "source_reference_id": "GAO-23-106782", "title": "Science & Tech Spotlight: Generative AI", "summary": "Introduces generative AI, its content-creation capabilities, applications, and risks. Discusses hallucinations, disinformation, privacy, and oversight questions.", "publication_date": "2023-06-13", "public_release_date": "2023-06-13", "publication_year": 2023, "source_url": "https://www.gao.gov/products/gao-23-106782", "pdf_url": "https://www.gao.gov/assets/gao-23-106782.pdf", "full_text_url": null, "topics": [ "Generative AI", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "Dedicated overview of generative AI.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-23-106811", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Testimony", "source_reference_id": "GAO-23-106811", "title": "Artificial Intelligence: Key Practices to Help Ensure Accountability in Federal Use", "summary": "Testifies on GAO's AI accountability practices and the federal workforce needed to implement them. Connects responsible AI use with governance, reliable data, performance assessment, and monitoring.", "publication_date": "2023-05-16", "public_release_date": "2023-05-16", "publication_year": 2023, "source_url": "https://www.gao.gov/products/gao-23-106811", "pdf_url": "https://www.gao.gov/assets/gao-23-106811.pdf", "full_text_url": null, "topics": [ "Responsible AI", "Workforce", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "Testimony specifically addresses federal AI accountability and workforce capacity.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [ "Distinct GAO product; may summarize earlier reports rather than represent a new audit." ] }, { "id": "gao:gao-23-106453", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Science & Tech Spotlight", "source_reference_id": "GAO-23-106453", "title": "Science & Tech Spotlight: Digital Twins—Virtual Models of People and Objects", "summary": "Explains digital twins and their use in infrastructure, industry, health care, and cities. Discusses AI and machine-learning analysis of twin data, along with interoperability, privacy, and security challenges.", "publication_date": "2023-02-14", "public_release_date": "2023-02-14", "publication_year": 2023, "source_url": "https://www.gao.gov/products/gao-23-106453", "pdf_url": "https://www.gao.gov/assets/gao-23-106453.pdf", "full_text_url": null, "topics": [ "AI applications", "State and local government", "Data governance" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Explains how AI enables predictions and scenario testing using digital twins.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-23-105406", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-23-105406", "title": "Pandemic Origins: Technologies and Challenges for Biological Investigations", "summary": "Assesses technologies used to investigate pandemic origins. Includes AI-enabled bioinformatics for detecting patterns of genetic engineering, while emphasizing data access, interpretation, and workforce limitations.", "publication_date": "2023-01-27", "public_release_date": "2023-02-01", "publication_year": 2023, "source_url": "https://www.gao.gov/products/gao-23-105406", "pdf_url": "https://www.gao.gov/assets/gao-23-105406.pdf", "full_text_url": null, "topics": [ "Health and medicine", "Research and development" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "The full assessment discusses a specific AI method and its limits in pathogen-origin analysis.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-23-105556", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-23-105556", "title": "Military Readiness: Actions Needed to Further Implement Predictive Maintenance on Weapon Systems", "summary": "Reviews implementation of predictive maintenance for military equipment, including Army efforts emphasizing AI. Recommends better planning, coordination, and outcome measurement. Not all predictive maintenance uses AI.", "publication_date": "2022-12-08", "public_release_date": "2022-12-08", "publication_year": 2022, "source_url": "https://www.gao.gov/products/gao-23-105556", "pdf_url": "https://www.gao.gov/assets/gao-23-105556.pdf", "full_text_url": null, "topics": [ "National security", "AI applications", "Federal management" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI-supported maintenance is a specific implementation approach examined in the report.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-22-104629", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-22-104629", "title": "Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning Technologies for Medical Diagnostics", "summary": "Assesses machine-learning diagnostic technologies for selected diseases. Identifies challenges with clinical validation, data access, adoption, and performance across patient populations and offers policy options.", "publication_date": "2022-09-29", "public_release_date": "2022-09-29", "publication_year": 2022, "source_url": "https://www.gao.gov/products/gao-22-104629", "pdf_url": "https://www.gao.gov/assets/gao-22-104629.pdf", "full_text_url": null, "topics": [ "Health and medicine", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "Machine-learning medical diagnosis is the principal topic.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-22-104714", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-22-104714", "title": "Information Environment: Opportunities and Threats to DOD's National Security Mission", "summary": "Examines threats and opportunities in DOD's information environment. Includes AI, machine learning, bots, and other emerging technologies alongside organizational and operational challenges.", "publication_date": "2022-09-21", "public_release_date": "2022-09-21", "publication_year": 2022, "source_url": "https://www.gao.gov/products/gao-22-104714", "pdf_url": "https://www.gao.gov/assets/gao-22-104714.pdf", "full_text_url": null, "topics": [ "National security", "Disinformation", "Strategy and policy" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI and machine learning are examined within the emerging-technologies threat analysis.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-22-106118", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Science & Tech Spotlight", "source_reference_id": "GAO-22-106118", "title": "Science & Tech Spotlight: Brain-Computer Interfaces", "summary": "Explains brain-computer interfaces, including machine-learning translation of brain signals into device commands. Discusses possible medical and defense uses and security, ethics, and equity concerns.", "publication_date": "2022-09-08", "public_release_date": "2022-09-08", "publication_year": 2022, "source_url": "https://www.gao.gov/products/gao-22-106118", "pdf_url": "https://www.gao.gov/assets/gao-22-106118.pdf", "full_text_url": null, "topics": [ "Health and medicine", "Research and development", "Privacy and civil rights" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Machine learning is explained as an operating mechanism of the technology.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-22-104567", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-22-104567", "title": "Uncrewed Maritime Systems: Navy Should Improve Its Approach to Maximize Early Investments", "summary": "Reviews Navy investments in uncrewed ships and underwater vehicles. Recommends improved portfolio management, planning, and accounting for the digital infrastructure supporting autonomous operations.", "publication_date": "2022-04-07", "public_release_date": "2022-04-07", "publication_year": 2022, "source_url": "https://www.gao.gov/products/gao-22-104567", "pdf_url": "https://www.gao.gov/assets/gao-22-104567.pdf", "full_text_url": null, "topics": [ "National security", "Procurement", "Transportation and autonomy" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI-enabled uncrewed systems and their supporting infrastructure are central.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-22-105834", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-22-105834", "title": "Artificial Intelligence: DOD Should Improve Strategies, Inventory Process, and Collaboration Guidance", "summary": "Reviews DOD AI strategies, inventories, and collaboration arrangements. Recommends more complete strategies, improved inventory processes, and clearer responsibilities for coordinating AI activities.", "publication_date": "2022-03-30", "public_release_date": "2022-03-30", "publication_year": 2022, "source_url": "https://www.gao.gov/products/gao-22-105834", "pdf_url": "https://www.gao.gov/assets/gao-22-105834.pdf", "full_text_url": null, "topics": [ "National security", "Strategy and policy", "Federal management" ], "ai_relevance": "Core AI", "relevance_note": "Department-wide AI governance is the focus.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-22-104765", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-22-104765", "title": "Artificial Intelligence: Status of Developing and Acquiring Capabilities for Weapon Systems", "summary": "Examines DOD's development and acquisition of AI-enabled weapons capabilities. Identifies challenges with usable training data, skilled personnel, testing, and acquisition processes.", "publication_date": "2022-02-17", "public_release_date": "2022-02-17", "publication_year": 2022, "source_url": "https://www.gao.gov/products/gao-22-104765", "pdf_url": "https://www.gao.gov/assets/gao-22-104765.pdf", "full_text_url": null, "topics": [ "National security", "Procurement", "Data governance" ], "ai_relevance": "Core AI", "relevance_note": "AI capability acquisition is the central subject.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-22-104807", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-22-104807", "title": "Trafficking and Money Laundering: Strategies Used by Criminal Groups and Terrorists and Federal Efforts to Combat Them", "summary": "Reviews trafficking and money-laundering methods and federal responses. Discusses IRS work to use AI to identify criminal patterns and limitations involving training data and cost.", "publication_date": "2021-12-23", "public_release_date": "2021-12-23", "publication_year": 2021, "source_url": "https://www.gao.gov/products/gao-22-104807", "pdf_url": "https://www.gao.gov/assets/gao-22-104807.pdf", "full_text_url": null, "topics": [ "Law enforcement", "Financial and consumer protection", "AI applications" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Full report analyzes a specific AI investigative use and implementation barriers.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-22-105388", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Forum / roundtable report", "source_reference_id": "GAO-22-105388", "title": "Digital Services: Considerations for a Federal Academy to Develop a Pipeline of Digital Staff", "summary": "Summarizes expert views on a federal digital-service academy to address shortages in AI, data science, cybersecurity, and related skills. Discusses education, hiring, compensation, and retention options.", "publication_date": "2021-11-19", "public_release_date": "2021-11-19", "publication_year": 2021, "source_url": "https://www.gao.gov/products/gao-22-105388", "pdf_url": "https://www.gao.gov/assets/gao-22-105388.pdf", "full_text_url": null, "topics": [ "Workforce", "Strategy and policy" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI workforce shortages are an explicit part of the proposed academy's rationale.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-22-104380", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-22-104380", "title": "Mortgage Lending: Use of Alternative Data Is Limited but Has Potential Benefits", "summary": "Examines alternative data in mortgage underwriting. Its AI-relevant analysis addresses machine-learning model explainability, discrimination risks, and lenders' ability to explain adverse credit decisions.", "publication_date": "2021-11-16", "public_release_date": "2021-12-16", "publication_year": 2021, "source_url": "https://www.gao.gov/products/gao-22-104380", "pdf_url": "https://www.gao.gov/assets/gao-22-104380.pdf", "full_text_url": null, "topics": [ "Financial and consumer protection", "Responsible AI" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Dedicated discussion of machine-learning underwriting models and explainability.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-22-104371", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-22-104371", "title": "Vaccine Development: Capabilities and Challenges for Addressing Infectious Diseases", "summary": "Assesses technologies for vaccine development, including AI and machine learning for preclinical testing, trial recruitment, and analysis. Discusses technical and policy barriers to wider use.", "publication_date": "2021-11-16", "public_release_date": "2021-11-16", "publication_year": 2021, "source_url": "https://www.gao.gov/products/gao-22-104371", "pdf_url": "https://www.gao.gov/assets/gao-22-104371.pdf", "full_text_url": null, "topics": [ "Health and medicine", "Research and development" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Full report contains substantive AI and machine-learning applications in vaccine development.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-21-526", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-21-526", "title": "Facial Recognition Technology: Current and Planned Uses by Federal Agencies", "summary": "Surveys civilian federal agencies' current and planned uses of facial recognition for digital access, physical security, investigations, and other purposes.", "publication_date": "2021-08-24", "public_release_date": "2021-08-24", "publication_year": 2021, "source_url": "https://www.gao.gov/products/gao-21-526", "pdf_url": "https://www.gao.gov/assets/gao-21-526.pdf", "full_text_url": null, "topics": [ "Federal management", "Privacy and civil rights", "Law enforcement" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Inventory of a major applied-AI technology across agencies.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-21-435sp", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-21-435SP", "title": "Forensic Technology: Algorithms Strengthen Forensic Analysis, but Several Factors Can Affect Outcomes", "summary": "Assesses forensic algorithms, including facial recognition, and challenges with interpretation, bias, misuse, and performance. Offers options involving training, standards, and transparency.", "publication_date": "2021-07-06", "public_release_date": "2021-07-06", "publication_year": 2021, "source_url": "https://www.gao.gov/products/gao-21-435sp", "pdf_url": "https://www.gao.gov/assets/gao-21-435sp.pdf", "full_text_url": null, "topics": [ "Law enforcement", "Responsible AI", "Privacy and civil rights" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Dedicated assessment of algorithmic evidence, including AI-relevant face recognition.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-21-519sp", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Framework", "source_reference_id": "GAO-21-519SP", "title": "Artificial Intelligence: An Accountability Framework for Federal Agencies and Other Entities", "summary": "Sets out GAO's AI accountability framework around governance, data, performance, and monitoring. Includes practices and assessment questions for agencies, auditors, and other entities.", "publication_date": "2021-06-30", "public_release_date": "2021-06-30", "publication_year": 2021, "source_url": "https://www.gao.gov/products/gao-21-519sp", "pdf_url": "https://www.gao.gov/assets/gao-21-519sp.pdf", "full_text_url": null, "topics": [ "Responsible AI", "Strategy and policy", "Data governance" ], "ai_relevance": "Core AI", "relevance_note": "Dedicated framework for responsible AI implementation and oversight.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-21-518", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-21-518", "title": "Facial Recognition Technology: Federal Law Enforcement Agencies Should Better Assess Privacy and Other Risks", "summary": "Surveys federal law-enforcement agencies' use of facial recognition and identifies gaps in tracking nonfederal systems and assessing privacy, accuracy, and other risks.", "publication_date": "2021-06-03", "public_release_date": "2021-06-29", "publication_year": 2021, "source_url": "https://www.gao.gov/products/gao-21-518", "pdf_url": "https://www.gao.gov/assets/gao-21-518.pdf", "full_text_url": null, "topics": [ "Law enforcement", "Privacy and civil rights" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Agency use and risk assessment of facial recognition are central.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-21-292", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-21-292", "title": "Biodefense: DHS Exploring New Methods to Replace BioWatch and Could Benefit from Additional Guidance", "summary": "Reviews DHS's proposed successor to BioWatch, which combines biological sensors with analytics and machine learning. Recommends improved technology-readiness assessment and acquisition risk management.", "publication_date": "2021-05-20", "public_release_date": "2021-05-20", "publication_year": 2021, "source_url": "https://www.gao.gov/products/gao-21-292", "pdf_url": "https://www.gao.gov/assets/gao-21-292.pdf", "full_text_url": null, "topics": [ "National security", "Health and medicine", "Procurement" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Machine learning is part of the detection system whose maturity GAO evaluates.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-21-310", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-21-310", "title": "FAA Workforce: Better Assessing Employees' Skill Gaps Could Help FAA Prepare for Changes in Technology", "summary": "Examines how FAA identifies workforce skills needed for automation, AI, and changing aviation technologies. Finds that its assessment does not adequately show where existing skill gaps remain.", "publication_date": "2021-05-13", "public_release_date": "2021-05-13", "publication_year": 2021, "source_url": "https://www.gao.gov/products/gao-21-310", "pdf_url": "https://www.gao.gov/assets/gao-21-310.pdf", "full_text_url": null, "topics": [ "Workforce", "Transportation and autonomy" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI-related technology changes are explicitly within the study's workforce-planning scope.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-21-197", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-21-197", "title": "Automated Technologies: DOT Should Take Steps to Ensure Its Workforce Has Skills Needed to Oversee Safety", "summary": "Examines DOT's workforce readiness to oversee automated transportation technologies. Identifies skills-assessment and recruitment weaknesses, including expertise needed for machine learning and automated-system safety.", "publication_date": "2020-12-18", "public_release_date": "2020-12-18", "publication_year": 2020, "source_url": "https://www.gao.gov/products/gao-21-197", "pdf_url": "https://www.gao.gov/assets/gao-21-197.pdf", "full_text_url": null, "topics": [ "Workforce", "Transportation and autonomy" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI-related oversight skills are part of the automated-transportation workforce analysis.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-21-7sp", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-21-7SP", "title": "Artificial Intelligence in Health Care: Benefits and Challenges of Technologies to Augment Patient Care", "summary": "Assesses clinical and administrative AI tools that could improve patient care. Offers policy options addressing data access, bias, transparency, performance, and adoption barriers.", "publication_date": "2020-11-30", "public_release_date": "2020-11-30", "publication_year": 2020, "source_url": "https://www.gao.gov/products/gao-21-7sp", "pdf_url": "https://www.gao.gov/assets/gao-21-7sp.pdf", "full_text_url": null, "topics": [ "Health and medicine", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI-supported patient care is the central subject.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-21-57", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-21-57", "title": "Defense Intelligence: Comprehensive Plan Needed to Improve Stakeholder Engagement in the Development of New Military Intelligence System", "summary": "Reviews development of DIA's Machine-Assisted Analytic Rapid-Repository System and recommends stronger stakeholder-engagement planning. The full report discusses machine-learning pilots and limitations of the legacy system.", "publication_date": "2020-11-19", "public_release_date": "2020-11-19", "publication_year": 2020, "source_url": "https://www.gao.gov/products/gao-21-57", "pdf_url": "https://www.gao.gov/assets/gao-21-57.pdf", "full_text_url": null, "topics": [ "National security", "Federal management" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Reviews a military intelligence modernization effort with specific machine-learning development issues.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-20-568", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-20-568", "title": "Facial Recognition: CBP and TSA are Taking Steps to Implement Programs, but CBP Should Address Privacy and System Performance Issues", "summary": "Reviews facial recognition at border and airport checkpoints. Finds shortcomings in privacy notices, partner audits, and system performance and recommends stronger safeguards.", "publication_date": "2020-09-02", "public_release_date": "2020-09-02", "publication_year": 2020, "source_url": "https://www.gao.gov/products/gao-20-568", "pdf_url": "https://www.gao.gov/assets/gao-20-568.pdf", "full_text_url": null, "topics": [ "Privacy and civil rights", "Transportation and autonomy" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Audits a deployed facial-recognition program.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-20-577", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-20-577", "title": "Internet of Things: Information on Use by Federal Agencies", "summary": "Surveys federal Internet of Things uses and includes concrete AI-enabled examples: NASA research on self-adjusting spacesuits and CBP autonomous surveillance towers. The overall report covers a broader technology portfolio.", "publication_date": "2020-08-13", "public_release_date": "2020-09-14", "publication_year": 2020, "source_url": "https://www.gao.gov/products/gao-20-577", "pdf_url": "https://www.gao.gov/assets/gao-20-577.pdf", "full_text_url": null, "topics": [ "Federal management", "AI applications" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Full report describes two agency AI applications, not just a list of technology buzzwords.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-20-522", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-20-522", "title": "Facial Recognition Technology: Privacy and Accuracy Issues Related to Commercial Uses", "summary": "Examines growing commercial facial-recognition uses, accuracy differences across demographic groups, and privacy risks. Reiterates the need to modernize consumer privacy protections.", "publication_date": "2020-07-13", "public_release_date": "2020-08-11", "publication_year": 2020, "source_url": "https://www.gao.gov/products/gao-20-522", "pdf_url": "https://www.gao.gov/assets/gao-20-522.pdf", "full_text_url": null, "topics": [ "Privacy and civil rights", "Law enforcement" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Facial-recognition performance and governance are central.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-20-479sp", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-20-479SP", "title": "Forensic Technology: Algorithms Used in Federal Law Enforcement", "summary": "Describes federal law-enforcement use of facial recognition, latent-print analysis, and probabilistic genotyping algorithms. Explains how these tools support forensic attribution and investigations.", "publication_date": "2020-05-12", "public_release_date": "2020-05-12", "publication_year": 2020, "source_url": "https://www.gao.gov/products/gao-20-479sp", "pdf_url": "https://www.gao.gov/assets/gao-20-479sp.pdf", "full_text_url": null, "topics": [ "Law enforcement", "Responsible AI" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Substantive coverage of facial recognition; not every forensic algorithm discussed is necessarily AI.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-20-379sp", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Science & Tech Spotlight", "source_reference_id": "GAO-20-379SP", "title": "Science & Tech Spotlight: Deepfakes", "summary": "Explains how AI-generated deepfakes work, their potential for exploitation and disinformation, and the limitations of detection methods.", "publication_date": "2020-02-20", "public_release_date": "2020-02-20", "publication_year": 2020, "source_url": "https://www.gao.gov/products/gao-20-379sp", "pdf_url": "https://www.gao.gov/assets/gao-20-379sp.pdf", "full_text_url": null, "topics": [ "Generative AI", "Disinformation", "Privacy and civil rights" ], "ai_relevance": "Core AI", "relevance_note": "Deepfake generation and AI-based detection are the focus.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-20-215sp", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-20-215SP", "title": "Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning in Drug Development [Reissued with revisions on Jan. 31, 2020.]", "summary": "Assesses machine learning across drug discovery, preclinical research, and clinical trials. Identifies data, research, workforce, and regulatory barriers and offers policy options.", "publication_date": "2019-12-20", "public_release_date": "2020-01-21", "publication_year": 2019, "source_url": "https://www.gao.gov/products/gao-20-215sp", "pdf_url": "https://www.gao.gov/assets/gao-20-215sp.pdf", "full_text_url": null, "topics": [ "Health and medicine", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "Machine learning in drug development is the central subject.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [ "Reissued product; original publication and public-release dates retained from GAO metadata. See title for revision notice." ] }, { "id": "gao:gao-19-579t", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Testimony", "source_reference_id": "GAO-19-579T", "title": "Face Recognition Technology: DOJ and FBI Have Taken Some Actions in Response to GAO Recommendations to Ensure Privacy and Accuracy, But Additional Work Remains", "summary": "Updates Congress on the FBI's expanded facial-recognition access and remaining weaknesses in privacy and accuracy safeguards. Reviews implementation of prior recommendations.", "publication_date": "2019-06-04", "public_release_date": "2019-06-04", "publication_year": 2019, "source_url": "https://www.gao.gov/products/gao-19-579t", "pdf_url": "https://www.gao.gov/assets/gao-19-579t.pdf", "full_text_url": null, "topics": [ "Privacy and civil rights", "Law enforcement" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Testimony specifically examines facial-recognition oversight.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [ "Distinct GAO product; may summarize earlier reports rather than represent a new audit." ] }, { "id": "gao:gao-19-181", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-19-181", "title": "Federal Workforce: Key Talent Management Strategies for Agencies to Better Meet Their Missions", "summary": "Identifies federal talent-management strategies and explains how AI, robotics, and automation change work and required skills. Discusses the challenge of adapting federal hiring and training systems.", "publication_date": "2019-03-28", "public_release_date": "2019-04-29", "publication_year": 2019, "source_url": "https://www.gao.gov/products/gao-19-181", "pdf_url": "https://www.gao.gov/assets/gao-19-181.pdf", "full_text_url": null, "topics": [ "Workforce", "Federal management" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Dedicated discussion of AI applications and resulting workforce needs in the full report.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-19-257", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-19-257", "title": "Workforce Automation: Better Data Needed to Assess and Plan for Effects of Advanced Technologies on Jobs", "summary": "Examines how AI, robotics, and advanced automation affect employment and tasks. Finds federal data insufficient to isolate technology-driven workforce changes and recommends better monitoring.", "publication_date": "2019-03-07", "public_release_date": "2019-04-08", "publication_year": 2019, "source_url": "https://www.gao.gov/products/gao-19-257", "pdf_url": "https://www.gao.gov/assets/gao-19-257.pdf", "full_text_url": null, "topics": [ "Workforce", "Strategy and policy" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI's effects on work are a substantive part of the study.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-19-161", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-19-161", "title": "Automated Trucking: Federal Agencies Should Take Additional Steps to Prepare for Potential Workforce Effects", "summary": "Assesses how self-driving trucks could change trucking jobs, wages, and skills. Recommends continued federal engagement with stakeholders to prepare for different workforce scenarios.", "publication_date": "2019-03-07", "public_release_date": "2019-03-07", "publication_year": 2019, "source_url": "https://www.gao.gov/products/gao-19-161", "pdf_url": "https://www.gao.gov/assets/gao-19-161.pdf", "full_text_url": null, "topics": [ "Workforce", "Transportation and autonomy" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Autonomous driving is the central technology, rather than a passing AI reference.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-18-644t", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Testimony", "source_reference_id": "GAO-18-644T", "title": "Artificial Intelligence: Emerging Opportunities, Challenges, and Implications for Policy and Research", "summary": "Presents Congress with findings from GAO's AI forum and discusses emerging opportunities, challenges, and implications for public policy and research.", "publication_date": "2018-06-26", "public_release_date": "2018-06-26", "publication_year": 2018, "source_url": "https://www.gao.gov/products/gao-18-644t", "pdf_url": "https://www.gao.gov/assets/gao-18-644t.pdf", "full_text_url": null, "topics": [ "Strategy and policy", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "Testimony focused on AI opportunities and oversight.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [ "Distinct GAO product; may summarize earlier reports rather than represent a new audit." ] }, { "id": "gao:gao-18-142sp", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-18-142SP", "title": "Technology Assessment: Artificial Intelligence: Emerging Opportunities, Challenges, and Implications", "summary": "Synthesizes an expert forum on AI applications in cybersecurity, automated vehicles, criminal justice, and financial services. Identifies research and policy questions about benefits, risks, data, and workforce effects.", "publication_date": "2018-03-28", "public_release_date": "2018-03-28", "publication_year": 2018, "source_url": "https://www.gao.gov/products/gao-18-142sp", "pdf_url": "https://www.gao.gov/assets/gao-18-142sp.pdf", "full_text_url": null, "topics": [ "Strategy and policy", "Responsible AI", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the report's organizing subject.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-17-489t", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Testimony", "source_reference_id": "GAO-17-489T", "title": "Face Recognition Technology: DOJ and FBI Need to Take Additional Actions to Ensure Privacy and Accuracy", "summary": "Updates Congress on DOJ and FBI responses to GAO's 2016 facial-recognition recommendations. Discusses unresolved privacy notices, accuracy testing, and oversight issues.", "publication_date": "2017-03-22", "public_release_date": "2017-03-22", "publication_year": 2017, "source_url": "https://www.gao.gov/products/gao-17-489t", "pdf_url": "https://www.gao.gov/assets/gao-17-489t.pdf", "full_text_url": null, "topics": [ "Privacy and civil rights", "Law enforcement" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Follow-up testimony about facial-recognition safeguards.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [ "Distinct GAO product; may summarize earlier reports rather than represent a new audit." ] }, { "id": "gao:gao-16-659sp", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Forum / roundtable report", "source_reference_id": "GAO-16-659SP", "title": "Highlights of a Forum: Data and Analytics Innovation: Emerging Opportunities and Challenges", "summary": "Summarizes a forum on data and analytics innovation, including cognitive computing, machine learning, and automated decision-making. Discusses opportunities, governance, privacy, and the need for human oversight.", "publication_date": "2016-09-20", "public_release_date": "2016-09-20", "publication_year": 2016, "source_url": "https://www.gao.gov/products/gao-16-659sp", "pdf_url": "https://www.gao.gov/assets/gao-16-659sp.pdf", "full_text_url": null, "topics": [ "Strategy and policy", "Data governance", "Responsible AI" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "The full report explains AI methods, applications, and oversight risks in multiple sections.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and targeted full-report review", "editorial_notes": [] }, { "id": "gao:gao-16-267", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-16-267", "title": "FACE Recognition Technology: FBI Should Better Ensure Privacy and Accuracy [Reissued on August 3, 2016]", "summary": "Reviews the FBI's facial-recognition capabilities and finds weaknesses in privacy compliance, accuracy testing, and oversight of searches of external databases.", "publication_date": "2016-05-16", "public_release_date": "2016-06-15", "publication_year": 2016, "source_url": "https://www.gao.gov/products/gao-16-267", "pdf_url": "https://www.gao.gov/assets/gao-16-267.pdf", "full_text_url": null, "topics": [ "Privacy and civil rights", "Law enforcement" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Examines accuracy and governance of automated face matching.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [ "Reissued product; original publication and public-release dates retained from GAO metadata. See title for revision notice." ] }, { "id": "gao:gao-15-621", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-15-621", "title": "Facial Recognition Technology: Commercial Uses, Privacy Issues, and Applicable Federal Law", "summary": "Examines commercial facial recognition, including identity verification, advertising, and security, and the privacy protections that apply. Identifies gaps in the federal consumer privacy framework.", "publication_date": "2015-07-30", "public_release_date": "2015-07-30", "publication_year": 2015, "source_url": "https://www.gao.gov/products/gao-15-621", "pdf_url": "https://www.gao.gov/assets/gao-15-621.pdf", "full_text_url": null, "topics": [ "Privacy and civil rights", "Financial and consumer protection" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Facial-recognition algorithms are the central technology examined.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-03-1137t", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Testimony", "source_reference_id": "GAO-03-1137T", "title": "Information Security: Challenges in Using Biometrics", "summary": "Testifies on federal biometric uses and challenges, drawing on GAO's border-security technology assessment. Addresses identity-recognition technologies, their limitations, and implementation considerations.", "publication_date": "2003-09-09", "public_release_date": "2003-09-09", "publication_year": 2003, "source_url": "https://www.gao.gov/products/gao-03-1137t", "pdf_url": "https://www.gao.gov/assets/gao-03-1137t.pdf", "full_text_url": null, "topics": [ "Law enforcement", "Privacy and civil rights", "Legacy AI applications" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Historical testimony on recognition technologies, including the facial-recognition work in the underlying assessment.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [ "Distinct GAO product; may summarize earlier reports rather than represent a new audit." ] }, { "id": "gao:gao-03-174", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Technology assessment", "source_reference_id": "GAO-03-174", "title": "Technology Assessment: Using Biometrics for Border Security", "summary": "Assesses biometric technologies for border control, including facial and speaker recognition. Discusses technical maturity, effectiveness, cost, privacy, and implementation tradeoffs.", "publication_date": "2002-11-15", "public_release_date": "2002-11-15", "publication_year": 2002, "source_url": "https://www.gao.gov/products/gao-03-174", "pdf_url": "https://www.gao.gov/assets/gao-03-174.pdf", "full_text_url": null, "topics": [ "Law enforcement", "Privacy and civil rights", "Legacy AI applications" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Substantive assessment of recognition technologies that underpin applied AI; other biometric methods are also covered.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-02-438r", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-02-438R", "title": "Federal Funding for Selected Surveillance Technologies", "summary": "Inventories federal funding for surveillance technologies, with facial recognition receiving most of the reported research and development spending. Also covers red-light cameras and photo radar.", "publication_date": "2002-03-14", "public_release_date": "2002-04-15", "publication_year": 2002, "source_url": "https://www.gao.gov/products/gao-02-438r", "pdf_url": "https://www.gao.gov/assets/gao-02-438r.pdf", "full_text_url": null, "topics": [ "Law enforcement", "Research and development", "Legacy AI applications" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Facial-recognition research funding is a substantial component; this is historical computer-vision coverage.", "verified_on": "2026-11-11", "evidence_review": "GAO product page / highlights", "editorial_notes": [] }, { "id": "gao:gao-02-300", "publisher_id": "gao", "reference_type": "gao_publication", "publication_type": "Report", "source_reference_id": "GAO-02-300", "title": "Medicaid Financial Management: Better Oversight of State Claims for Federal Reimbursement Needed", "summary": "Reviews Medicaid financial oversight and state fraud-control methods. Includes neural-network analysis of claims and provider data to identify fraud, with a concrete Texas implementation example.", "publication_date": "2002-02-28", "public_release_date": "2002-04-01", "publication_year": 2002, "source_url": "https://www.gao.gov/products/gao-02-300", "pdf_url": "https://www.gao.gov/assets/gao-02-300.pdf", "full_text_url": null, "topics": [ "Fraud and improper payments", "Health and medicine", "Legacy AI applications" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "Full report describes a neural-network fraud-detection application rather than merely mentioning AI.", "verified_on": "2026-11-11", "evidence_review": "GAO product page and GAO accessible full-text excerpt on neural-network Medicaid fraud detection", "editorial_notes": [] }, { "id": "ibm-center:using-artificial-intelligence-transform-government", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "The Future Has Begun: Using Artificial Intelligence to Transform Government", "summary": "Profiles early federal AI use cases and sets out practical considerations for modernizing government operations and citizen services with AI.", "publication_date": "2017-10-01", "public_release_date": "2017-10-01", "publication_year": 2017, "source_url": "https://www.businessofgovernment.org/reports/using-artificial-intelligence-transform-government", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/Using_Artificial_Intelligence_to_Transform_Government.pdf", "full_text_url": null, "topics": [ "AI applications", "Federal management", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:delivering-artificial-intelligence-government-challenges-and-opportunities", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "Delivering Artificial Intelligence in Government: Challenges and Opportunities", "summary": "Reviews public-sector AI progress and offers an implementation framework, maturity model, and recommendations spanning technology, data, workforce, and risk.", "publication_date": "2018-02-28", "public_release_date": "2018-02-28", "publication_year": 2018, "source_url": "https://www.businessofgovernment.org/reports/delivering-artificial-intelligence-government-challenges-and-opportunities", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/Delivering_Artificial_Intelligence_in_Government.pdf", "full_text_url": null, "topics": [ "AI applications", "Data governance", "Responsible AI", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:more-meets-ai", "publisher_id": "ibm-center", "co_publishers": [ { "publisher_id": "partnership-public-service", "source_url": "https://ourpublicservice.org/know-the-facts/resource-library/reports/more-than-meets-ai/" } ], "reference_type": "institutional_research", "publication_type": "White paper", "source_reference_id": "IBM Center publication", "title": "More Than Meets AI: Assessing the Impact of Artificial Intelligence on the Work of Government", "summary": "Examines how AI could reshape federal work, personalized service, and the technical and data skills needed by public employees.", "publication_date": "2019-04-01", "public_release_date": "2019-04-01", "publication_year": 2019, "source_url": "https://www.businessofgovernment.org/reports/more-meets-ai", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/More_Than_Meets_AI.pdf", "full_text_url": null, "topics": [ "AI applications", "Federal management", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:more-meets-ai-part-ii", "publisher_id": "ibm-center", "co_publishers": [ { "publisher_id": "partnership-public-service", "source_url": "https://ourpublicservice.org/know-the-facts/resource-library/reports/more-than-meets-ai-ii-building-trust-managing-risk" } ], "reference_type": "institutional_research", "publication_type": "White paper", "source_reference_id": "IBM Center publication", "title": "More Than Meets AI: Part II", "summary": "Draws on government, company, and international experience to address bias, security, transparency, job impact, public trust, and practical agency adoption.", "publication_date": "2019-07-25", "public_release_date": "2019-07-25", "publication_year": 2019, "source_url": "https://www.businessofgovernment.org/reports/more-meets-ai-part-ii", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/More_Than_Meets_AI_Part_II_0.pdf", "full_text_url": null, "topics": [ "Privacy and civil rights", "Responsible AI", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:intelligent-automation", "publisher_id": "ibm-center", "co_publishers": [ { "publisher_id": "partnership-public-service", "source_url": "https://ourpublicservice.org/know-the-facts/resource-library/reports/improving-outcomes-in-government-through-data-and-intelligent-automation" } ], "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "Improving Outcomes in Government through Data and Intelligent Automation", "summary": "Synthesizes federal case discussions on intelligent automation, AI, and blockchain and provides practical steps for selecting problems, data, and implementation partners.", "publication_date": "2021-01-01", "public_release_date": "2021-01-01", "publication_year": 2021, "source_url": "https://www.businessofgovernment.org/reports/intelligent-automation", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/Improving_Outcomes_in_Government_through_Data_and_Intelligent_Automation.pdf", "full_text_url": null, "topics": [ "AI applications", "Data governance", "Federal management", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:creating-public-value-using-ai-driven-internet-things", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "Creating Public Value using the AI-Driven Internet of Things", "summary": "Develops an AI-enabled Internet of Things framework from public transport and service-delivery cases, with guidance on data quality, cybersecurity, partnerships, and bias.", "publication_date": "2021-06-01", "public_release_date": "2021-06-01", "publication_year": 2021, "source_url": "https://www.businessofgovernment.org/reports/creating-public-value-using-ai-driven-internet-things", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/Creating_Public_Value_using_the_AI_Driven_Internet_of_Things.pdf", "full_text_url": null, "topics": [ "AI applications", "Cybersecurity", "Data governance", "State and local government", "Transportation and autonomy" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:artificial-intelligence-public-sector-maturity-model", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "Artificial Intelligence in the Public Sector: A Maturity Model", "summary": "Presents a refined maturity model that helps public agencies assess readiness and build the governance, technology, skills, and organizational capacity for an AI program.", "publication_date": "2021-09-14", "public_release_date": "2021-09-14", "publication_year": 2021, "source_url": "https://www.businessofgovernment.org/reports/artificial-intelligence-public-sector-maturity-model", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/Artificial_Intelligence_in_the_Public_Sector.pdf", "full_text_url": null, "topics": [ "AI infrastructure", "Data governance", "Federal management", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:deploying-ai-defense-organizations", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Research brief", "source_reference_id": "IBM Center publication", "title": "Deploying AI in Defense Organizations", "summary": "Reports survey and roundtable findings from defense technology leaders on AI planning, adoption, mission value, and operational priorities.", "publication_date": "2021-10-01", "public_release_date": "2021-10-01", "publication_year": 2021, "source_url": "https://www.businessofgovernment.org/reports/deploying-ai-defense-organizations", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/Deploying_AI_in_defense_organizations_RESEARCH_BRIEF.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:advancing-ai-defense-organizations", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Research brief", "source_reference_id": "IBM Center publication", "title": "Advancing AI in Defense Organizations", "summary": "Examines obstacles to defense AI adoption, ecosystem partnerships, and the culture of experimentation needed to move capabilities into mission use.", "publication_date": "2022-03-01", "public_release_date": "2022-03-01", "publication_year": 2022, "source_url": "https://www.businessofgovernment.org/reports/advancing-ai-defense-organizations", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/Advancing_AI_in_defense_organizations.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:risk-management-ai-era-navigating-opportunities-and-challenges-ai-tools-public-sector", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "Risk Management in the AI Era: Navigating the Opportunities and Challenges of AI Tools in the Public Sector", "summary": "Provides a public-sector AI risk framework and state and local case studies, emphasizing accountability, transparency, ethics, equity, capacity, and legitimacy.", "publication_date": "2022-07-01", "public_release_date": "2022-07-01", "publication_year": 2022, "source_url": "https://www.businessofgovernment.org/reports/risk-management-ai-era-navigating-opportunities-and-challenges-ai-tools-public-sector", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/Risk_Management_in_the_AI_Era.pdf", "full_text_url": null, "topics": [ "Responsible AI", "State and local government", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:realising-trustworthy-and-inclusive-artificial-intelligence-indonesia", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "Realising Trustworthy and Inclusive Artificial Intelligence for Indonesia", "summary": "Explores national approaches to trustworthy and inclusive AI, including governance, skills, data, innovation, and public confidence, through Indonesia’s policy context.", "publication_date": "2023-03-01", "public_release_date": "2023-03-01", "publication_year": 2023, "source_url": "https://www.businessofgovernment.org/reports/realising-trustworthy-and-inclusive-artificial-intelligence-indonesia", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/RealisingTrustworthyandInclusiveArtificialIntelligenceforIndonesia.pdf", "full_text_url": null, "topics": [ "Data governance", "Privacy and civil rights", "Responsible AI", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:government-procurement-and-acquisition-opportunities-and-challenges-presented-artificial", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "Government Procurement and Acquisition: Opportunities and Challenges Presented by Artificial Intelligence and Machine Learning", "summary": "Analyzes how AI could improve requirements, competition and pricing, contractor oversight, procurement data, and acquisition workforce performance while retaining human control.", "publication_date": "2023-07-13", "public_release_date": "2023-07-13", "publication_year": 2023, "source_url": "https://www.businessofgovernment.org/reports/government-procurement-and-acquisition-opportunities-and-challenges-presented-artificial", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/Government_Procurement_and_Acquisition_0.pdf", "full_text_url": null, "topics": [ "AI applications", "Data governance", "Procurement", "Responsible AI", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:pathways-trusted-progress-artificial-intelligence", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "Pathways to Trusted Progress with Artificial Intelligence", "summary": "Distills an expert roundtable into design and governance principles for transparent, reliable, secure, and publicly valuable government AI.", "publication_date": "2023-07-25", "public_release_date": "2023-07-25", "publication_year": 2023, "source_url": "https://www.businessofgovernment.org/reports/pathways-trusted-progress-artificial-intelligence", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/Pathways_to_Trusted_Progress_with_AI.pdf", "full_text_url": null, "topics": [ "Data governance", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:ai-and-modern-tax-agency", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "AI and the Modern Tax Agency: Adopting and Deploying AI to Improve Tax Administration", "summary": "Examines AI opportunities for taxpayer service, education, compliance, enforcement, and agency operations, with recommendations for governance, transparency, and trust.", "publication_date": "2024-05-20", "public_release_date": "2024-05-20", "publication_year": 2024, "source_url": "https://www.businessofgovernment.org/reports/ai-and-modern-tax-agency", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/AI_and_The_Modern_Tax_Agency.pdf", "full_text_url": null, "topics": [ "AI applications", "Responsible AI", "Tax administration" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:navigating-generative-ai-government", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "Navigating Generative AI in Government", "summary": "Presents 11 strategic pathways for government adoption of generative AI, including adaptive governance, data infrastructure, workforce training, innovation, engagement, and transparency.", "publication_date": "2024-10-31", "public_release_date": "2024-10-31", "publication_year": 2024, "source_url": "https://www.businessofgovernment.org/reports/navigating-generative-ai-government", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/Navigating_Generative_AI_in_Government.pdf", "full_text_url": null, "topics": [ "Data governance", "Generative AI", "Responsible AI", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:enhancing-government-payment-integrity-leveraging-ai-and-other-emerging-technologies", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "Enhancing Government Payment Integrity: Leveraging AI and Other Emerging Technologies", "summary": "Offers a framework for using AI, machine learning, identity management, automation, data sharing, and pre-payment controls to prevent improper payments.", "publication_date": "2025-02-28", "public_release_date": "2025-02-28", "publication_year": 2025, "source_url": "https://www.businessofgovernment.org/reports/enhancing-government-payment-integrity-leveraging-ai-and-other-emerging-technologies", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/Enhancing_Government_Payment_Integrity_0.pdf", "full_text_url": null, "topics": [ "AI applications", "Data governance", "Fraud and improper payments", "Financial and consumer protection" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:genai-and-future-government-work", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "GenAI and the Future of Government Work", "summary": "Uses federal occupational analysis to show where generative AI may complement, augment, or automate tasks and recommends retraining, cross-training, recruitment, and accountable governance.", "publication_date": "2025-09-04", "public_release_date": "2025-09-04", "publication_year": 2025, "source_url": "https://www.businessofgovernment.org/reports/genai-and-future-government-work", "pdf_url": "https://www.businessofgovernment.org/content/dam/business-of-government/documents/sites/default/files/GenAI_AND_THE_FUTURE_OF_GOVERNMENT_WORK.pdf", "full_text_url": null, "topics": [ "Federal management", "Generative AI", "Responsible AI", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:ai-in-state-government", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "AI in State Government: Balancing Innovation, Efficiency, and Risk", "summary": "Surveys state GenAI pilots, use cases, and implementation lessons across services and policy areas, emphasizing cross-agency learning, workforce skills, and responsible governance.", "publication_date": "2025-10-30", "public_release_date": "2025-10-30", "publication_year": 2025, "source_url": "https://www.businessofgovernment.org/reports/ai-in-state-government", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Generative AI", "Responsible AI", "State and local government", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:responsible-ai-for-public-evaluation", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "Responsible AI for Public Evaluation: Harnessing AI to Strengthen Public Sector Decisions", "summary": "Provides an applied framework for using AI in program evaluation and performance auditing while preserving human judgment, transparency, accountability, and trust.", "publication_date": "2025-12-08", "public_release_date": "2025-12-08", "publication_year": 2025, "source_url": "https://www.businessofgovernment.org/reports/responsible-ai-for-public-evaluation", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Federal management", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:enhanced-government-financial-oversight", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "Enhanced Government Financial Oversight: Reducing Fraud with AI and Metadata Analytics", "summary": "Shows how metadata analytics and machine learning can supplement sampling-based audits, detect anomalies across full transaction populations, and support earlier fraud intervention.", "publication_date": "2026-03-26", "public_release_date": "2026-03-26", "publication_year": 2026, "source_url": "https://www.businessofgovernment.org/reports/enhanced-government-financial-oversight", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Data governance", "Financial and consumer protection", "Fraud and improper payments" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:using-ai-to-improve-child-welfare", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "Using AI to Improve Child Welfare: Navigating Rules in Real Time", "summary": "Explores responsible AI support for state and local child welfare workers, including policy search, case synthesis, documentation, and training while keeping consequential decisions human-led.", "publication_date": "2026-04-29", "public_release_date": "2026-04-29", "publication_year": 2026, "source_url": "https://www.businessofgovernment.org/reports/using-ai-to-improve-child-welfare", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Health and medicine", "Responsible AI", "State and local government", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of the publication.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "ibm-center:building-resilient-supply-chains", "publisher_id": "ibm-center", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "IBM Center publication", "title": "Building Resilient Federal Supply Chains: Leveraging AI, Data, and Cross-Agency Collaboration", "summary": "Examines how federal agencies can combine AI, shared data, and cross-agency governance to improve supply-chain visibility, risk sensing, and mission resilience.", "publication_date": "2026-10-09", "public_release_date": "2026-10-09", "publication_year": 2026, "source_url": "https://www.businessofgovernment.org/reports/building-resilient-supply-chains", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Data governance", "National security", "Procurement" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI and data-enabled risk analysis are substantive elements of the report’s federal supply-chain resilience framework.", "verified_on": "2026-11-13", "evidence_review": "Official IBM Center publication page and linked report", "editorial_notes": [] }, { "id": "deloitte:demystifying-ai-government", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "Demystifying Artificial Intelligence in Government", "summary": "Estimates how cognitive technologies can reduce administrative effort and improve public services, then explains the work, data, workforce, and governance implications for agencies.", "publication_date": "2017-04-25", "public_release_date": "2017-04-25", "publication_year": 2017, "source_url": "https://www.deloitte.com/us/en/insights/topics/emerging-technologies/artificial-intelligence-government.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Federal management", "Responsible AI", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:ai-augmented-government", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "AI-Augmented Government: Climbing the AI Maturity Curve", "summary": "Describes assisted, augmented, and autonomous stages of government AI maturity and surveys applications across health, education, law enforcement, defense, and public administration.", "publication_date": "2019-06-23", "public_release_date": "2019-06-23", "publication_year": 2019, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/government-trends/2020/ai-augmented-government.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Federal management", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:trustworthy-open-data", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "Trustworthy Open Data for Trustworthy AI", "summary": "Examines the quality, provenance, bias, privacy, and governance risks that arise when government open data is used to train AI systems.", "publication_date": "2021-12-10", "public_release_date": "2021-12-10", "publication_year": 2021, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/open-data-ai-explainable-trustworthy.html", "pdf_url": null, "full_text_url": null, "topics": [ "Data governance", "Privacy and civil rights", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:scaling-ai-government", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Survey analysis", "source_reference_id": "Deloitte Insights", "title": "Scaling AI in Government", "summary": "Uses a survey of government executives to identify the strategy, governance, data, MLOps, workforce, change-management, and ecosystem capabilities associated with moving AI beyond pilots.", "publication_date": "2021-12-13", "public_release_date": "2021-12-13", "publication_year": 2021, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/government-ai-survey.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI infrastructure", "Data governance", "Federal management", "Responsible AI", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:trustworthy-ai-government", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "Deloitte report", "title": "Developing and Deploying Trustworthy AI in Government", "summary": "Provides a government-focused approach for embedding transparency, fairness, reliability, privacy, security, and accountability into the AI development life cycle.", "publication_date": "2021-08-01", "public_release_date": "2021-08-01", "publication_year": 2021, "source_url": "https://www.deloitte.com/content/dam/assets-zone3/us/en/docs/industries/government-public-services/2024/developing-and-deploying-trustworthy-ai-in-government.pdf", "pdf_url": "https://www.deloitte.com/content/dam/assets-zone3/us/en/docs/industries/government-public-services/2024/developing-and-deploying-trustworthy-ai-in-government.pdf", "full_text_url": null, "topics": [ "Privacy and civil rights", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:accelerating-ai-entrepreneurship", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "How the US Government Can Accelerate AI Entrepreneurship", "summary": "Explores government’s roles as buyer, regulator, infrastructure provider, convener, and talent enabler in expanding an inclusive domestic AI innovation ecosystem.", "publication_date": "2022-08-23", "public_release_date": "2022-08-23", "publication_year": 2022, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/accelerating-entrepreneurship-in-artificial-intelligence.html", "pdf_url": null, "full_text_url": null, "topics": [ "Procurement", "Research and development", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:ai-smarter-legislation", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "AI for Smarter Legislation", "summary": "Shows how AI simulations and natural-language tools can help legislatures test policy impacts, surface assumptions, improve statutory analysis, and support evidence-based debate.", "publication_date": "2022-09-21", "public_release_date": "2022-09-21", "publication_year": 2022, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/artificial-intelligence-can-benefit-the-legislative-process.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Data governance", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:global-ai-case-studies", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Interactive research", "source_reference_id": "Deloitte Insights", "title": "AI Around the World: Government Use Cases and Success Factors", "summary": "Presents global government AI use cases and analyzes recurring factors associated with successful public-sector deployment and scaling.", "publication_date": "2023-02-27", "public_release_date": "2023-02-27", "publication_year": 2023, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/global-government-ai-case-studies.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "State and local government", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:securing-government-adversarial-ai", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "Securing Government Against Adversarial AI", "summary": "Explains data poisoning and other attacks on government AI, recommending cross-training, security standards, red teaming, model governance, and secure development life cycles.", "publication_date": "2023-04-11", "public_release_date": "2023-04-11", "publication_year": 2023, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/adversarial-ai.html", "pdf_url": null, "full_text_url": null, "topics": [ "Cybersecurity", "Data governance", "National security", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:ai-regulations-world", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "The AI Regulations That Aren’t Being Talked About", "summary": "Compares patterns across national AI policies and identifies regulatory levers governments can use to influence AI development, deployment, and accountability.", "publication_date": "2023-11-09", "public_release_date": "2023-11-09", "publication_year": 2023, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/ai-regulations-around-the-world.html", "pdf_url": null, "full_text_url": null, "topics": [ "Privacy and civil rights", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:genai-procurement", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "Generative AI Can Help Transform Government Procurement", "summary": "Examines how generative AI can support market research, requirements drafting, proposal screening, acquisition strategy, and procurement workforce capacity while retaining human judgment.", "publication_date": "2023-11-16", "public_release_date": "2023-11-16", "publication_year": 2023, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/automation-and-generative-ai-in-government/generative-ai-to-transform-government-procurement.html", "pdf_url": null, "full_text_url": null, "topics": [ "Generative AI", "Procurement", "Responsible AI", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:genai-human-services", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "Realizing the Potential of Generative AI in Human Services", "summary": "Maps generative AI use cases across human-services delivery and recommends use-case selection, workflow integration, governance, audit, and equitable implementation.", "publication_date": "2023-11-16", "public_release_date": "2023-11-16", "publication_year": 2023, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/automation-and-generative-ai-in-government/generative-ai-in-public-health.html", "pdf_url": null, "full_text_url": null, "topics": [ "Generative AI", "Health and medicine", "Responsible AI", "State and local government", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:ai-emergency-management", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "Leveraging AI for Effective Emergency Management and Crisis Response", "summary": "Explores how AI can improve risk sensing, planning, situational awareness, resource allocation, public communication, and recovery across emergency-management operations.", "publication_date": "2023-11-16", "public_release_date": "2023-11-16", "publication_year": 2023, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/automation-and-generative-ai-in-government/leveraging-ai-in-emergency-management-and-crisis-response.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Data governance", "State and local government", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:ai-regulatory-operations", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "AI Can Turbocharge Government Regulatory Operations", "summary": "Analyzes AI uses in rulemaking, monitoring, inspections, compliance assistance, and enforcement, with human oversight and risk controls.", "publication_date": "2023-11-16", "public_release_date": "2023-11-16", "publication_year": 2023, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/automation-and-generative-ai-in-government/use-of-generative-ai-in-government-to-transform-regulatory-operations.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Generative AI", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:public-sector-genai-snapshot", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Survey brief", "source_reference_id": "Deloitte Insights", "title": "A Snapshot of How Public-Sector Leaders Feel About Generative AI", "summary": "Summarizes survey findings on government leaders’ generative AI expectations, expertise, adoption barriers, investment priorities, and workforce readiness.", "publication_date": "2024-04-11", "public_release_date": "2024-04-11", "publication_year": 2024, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/ai-adoption-in-public-sector.html", "pdf_url": null, "full_text_url": null, "topics": [ "Federal management", "Generative AI", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:genai-government-work", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Data analysis", "source_reference_id": "Deloitte Insights", "title": "Generative AI and Government Work: An In-Depth Analysis of 19,000 Tasks", "summary": "Analyzes 19,000 occupational tasks by accuracy needs, creative difficulty, and context variability to identify where generative AI may automate, augment, or leave government work largely human-led.", "publication_date": "2024-04-25", "public_release_date": "2024-04-25", "publication_year": 2024, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/automation-and-generative-ai-in-government/generative-ai-for-government-work-tasks.html", "pdf_url": null, "full_text_url": null, "topics": [ "Federal management", "Generative AI", "Responsible AI", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:ai-government-efficiency", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "Deloitte report", "title": "AI: Can Smart Technologies Drive Government Efficiency?", "summary": "Quantifies potential time savings from AI-enabled government work and outlines applications in automation, regulation, decision support, fraud prevention, IT modernization, and citizen experience.", "publication_date": "2024-08-01", "public_release_date": "2024-08-01", "publication_year": 2024, "source_url": "https://www.deloitte.com/us/en/industries/government-public/articles/ai-in-federal-government.html", "pdf_url": "https://www.deloitte.com/content/dam/assets-zone3/us/en/docs/industries/government-public-services/2024/ai-government-efficiency.pdf", "full_text_url": null, "topics": [ "AI applications", "Federal management", "Fraud and improper payments", "Generative AI", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:ai-financial-investigations", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "Could Artificial Intelligence Fuel the Future of Financial Investigations?", "summary": "Examines AI-assisted financial-crime investigation, text and transaction analysis, open-source intelligence, fraud detection, risk management, and the continuing need for human review.", "publication_date": "2024-10-14", "public_release_date": "2024-10-14", "publication_year": 2024, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/ai-financial-investigations.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Financial and consumer protection", "Fraud and improper payments", "Law enforcement", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:scaling-genai-government", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Survey analysis", "source_reference_id": "Deloitte Insights", "title": "Government’s Less-Trodden Path to Scaling Generative AI", "summary": "Uses Deloitte survey findings to explain government’s bottom-up path to scaling generative AI, including workforce access, expertise, governance, technical choices, and funding constraints.", "publication_date": "2024-10-23", "public_release_date": "2024-10-23", "publication_year": 2024, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/government-faces-challenges-with-generative-ai-adoption.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI infrastructure", "Federal management", "Generative AI", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:genai-space-jobs", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Data analysis", "source_reference_id": "Deloitte Insights", "title": "Boosting Space Talent: Mapping Gen AI’s Impact on Space Jobs", "summary": "Analyzes approximately 70,000 space-sector job tasks to identify where generative AI can augment work, relieve talent shortages, and reshape government and commercial space roles.", "publication_date": "2024-12-03", "public_release_date": "2024-12-03", "publication_year": 2024, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/ai-automation-space-industry-jobs-impact.html", "pdf_url": null, "full_text_url": null, "topics": [ "Generative AI", "National security", "Research and development", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:ai-government-trends-2025", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "Delivering on the Promise of AI in Government", "summary": "Explains the public sector’s distinct path to scaled AI through platforms, distributed innovation, governance, workforce fluency, funding models, and measures of public value.", "publication_date": "2025-06-03", "public_release_date": "2025-06-03", "publication_year": 2025, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/government-trends/2025/scaling-ai-in-government.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI infrastructure", "Federal management", "Responsible AI", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:scaling-genai-state-local", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "Scaling Gen AI in US State and Local Governments", "summary": "Combines cases, interviews, and survey findings to address infrastructure, workforce, governance, budgets, expertise, transparency, and the gap between pilots and mission-scale deployment.", "publication_date": "2025-05-16", "public_release_date": "2025-05-16", "publication_year": 2025, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/use-of-ai-in-government.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI infrastructure", "Generative AI", "Responsible AI", "State and local government", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:ai-future-work-collection", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research collection", "source_reference_id": "Deloitte Insights", "title": "AI-Amplified Future of Work in Government", "summary": "A six-part Deloitte research collection on how AI may reshape public-sector funding, policymaking, operations, service delivery, regulation, research, and science.", "publication_date": "2025-09-23", "public_release_date": "2025-09-23", "publication_year": 2025, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/ai-future-of-work-in-government.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Federal management", "Generative AI", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:ai-future-funding", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research brief", "source_reference_id": "Deloitte Insights", "title": "The AI-Amplified Future of Work in Public-Sector Funding", "summary": "Examines how AI can streamline grant and funding work, detect fraud, improve resource targeting, and change workforce roles while retaining oversight.", "publication_date": "2025-09-23", "public_release_date": "2025-09-23", "publication_year": 2025, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/ai-future-of-work-in-government/ai-future-of-work-in-public-sector-funding.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Fraud and improper payments", "Responsible AI", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:ai-future-policymaking", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research brief", "source_reference_id": "Deloitte Insights", "title": "The AI-Amplified Future of Work in Public-Sector Policymaking", "summary": "Explores AI-assisted data synthesis, simulation, forecasting, drafting, public input analysis, and transparent policy development.", "publication_date": "2025-09-23", "public_release_date": "2025-09-23", "publication_year": 2025, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/ai-future-of-work-in-government/ai-future-of-work-in-public-sector-policymaking.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Data governance", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:ai-future-operations", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research brief", "source_reference_id": "Deloitte Insights", "title": "The AI-Amplified Future of Work in Public-Sector Operations", "summary": "Maps cross-cutting AI opportunities in finance, human resources, IT, facilities, workflow, and strategic workforce deployment.", "publication_date": "2025-09-23", "public_release_date": "2025-09-23", "publication_year": 2025, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/ai-future-of-work-in-government/ai-future-of-work-in-public-sector-operations.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Federal management", "Financial and consumer protection", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:ai-future-service-delivery", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research brief", "source_reference_id": "Deloitte Insights", "title": "The AI-Amplified Future of Work in Government Service Delivery", "summary": "Shows how AI may ease workloads, improve access and responsiveness, and reshape case-management and frontline service roles.", "publication_date": "2025-09-23", "public_release_date": "2025-09-23", "publication_year": 2025, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/ai-future-of-work-in-government/ai-future-of-work-in-government-service-delivery.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Responsible AI", "State and local government", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:ai-future-regulation", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research brief", "source_reference_id": "Deloitte Insights", "title": "The AI-Amplified Future of Work in Public-Sector Regulation", "summary": "Examines real-time risk detection, plain-language rules, compliance support, monitoring, and human accountability in AI-augmented regulatory work.", "publication_date": "2025-09-23", "public_release_date": "2025-09-23", "publication_year": 2025, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/ai-future-of-work-in-government/ai-future-of-work-in-public-sector-regulation.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Law enforcement", "Responsible AI", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:ai-future-research-science", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research brief", "source_reference_id": "Deloitte Insights", "title": "The AI-Amplified Future of Work in Public-Sector Research and Science", "summary": "Explores how AI can accelerate literature review, data analysis, experimentation, modeling, and discovery across public health, space, and government research.", "publication_date": "2025-09-23", "public_release_date": "2025-09-23", "publication_year": 2025, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/ai-future-of-work-in-government/ai-future-of-work-in-public-sector-research-and-science.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Health and medicine", "Research and development", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:govtech-trends-2026", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "Deloitte report", "title": "GovTech Trends 2026: A Government Perspective", "summary": "A government-specific technology outlook focused on moving AI from experimentation to impact, including agentic systems, AI-enabled development, infrastructure choices, cyber risk, and measurement.", "publication_date": "2026-01-15", "public_release_date": "2026-01-15", "publication_year": 2026, "source_url": "https://www.deloitte.com/us/en/industries/government-public/articles/government-tech-trends.html", "pdf_url": "https://www.deloitte.com/content/dam/assets-zone3/us/en/docs/industries/government-public-services/2025/gov-tech-trends-report-2026.pdf", "full_text_url": null, "topics": [ "Agentic AI", "AI infrastructure", "Cybersecurity", "Federal management", "Generative AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:agentic-ai-customized-services", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "Customized for Constituents: Agentic AI Accelerates Personalized Public Services", "summary": "Explains how agentic AI layered on digital identity, payments, and data exchange can coordinate personalized services across agencies, with governance, flexible technology, acquisition, and workflow redesign.", "publication_date": "2026-03-30", "public_release_date": "2026-03-30", "publication_year": 2026, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/government-trends/2026/agentic-ai-government-customized-service-delivery.html", "pdf_url": null, "full_text_url": null, "topics": [ "Agentic AI", "AI applications", "Data governance", "State and local government" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:cognitive-government", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "Cognitive Government Accelerated: From Aspiration to Operational Reality", "summary": "Describes AI-enabled sensing, prediction, simulation, and orchestration that help governments anticipate risks and coordinate decisions across systems.", "publication_date": "2026-03-30", "public_release_date": "2026-03-30", "publication_year": 2026, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/government-trends/2026/cognitive-government-ai-driven-decision-making.html", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Data governance", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:human-ai-government-workforce", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "Scaling the Public Sector’s Human Edge: Making Human-AI Collaboration Work", "summary": "Examines work redesign for human-agent teams, AI fluency, continuous learning, risk-based decision rights, and preserving human judgment and legitimacy.", "publication_date": "2026-03-30", "public_release_date": "2026-03-30", "publication_year": 2026, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/government-trends/2026/human-ai-collaboration-government-workforce.html", "pdf_url": null, "full_text_url": null, "topics": [ "Agentic AI", "Federal management", "Responsible AI", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "deloitte:mitigating-agentic-risk", "publisher_id": "deloitte", "reference_type": "institutional_research", "publication_type": "Research article", "source_reference_id": "Deloitte Insights", "title": "Mitigating Agentic Risk in Government: Navigating Oversight and Governance in the AI Age", "summary": "Adapts government governance and oversight for AI systems capable of planning and acting autonomously, emphasizing authority boundaries, monitoring, accountability, and intervention.", "publication_date": "2026-09-30", "public_release_date": "2026-09-30", "publication_year": 2026, "source_url": "https://www.deloitte.com/us/en/insights/industry/government-public-sector-services/agentic-ai-risk-governance.html", "pdf_url": null, "full_text_url": null, "topics": [ "Agentic AI", "Cybersecurity", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "AI is the central subject of this Deloitte public-sector publication.", "verified_on": "2026-11-13", "evidence_review": "Official Deloitte or Deloitte Insights publication page and linked report where available", "editorial_notes": [] }, { "id": "rand:rra4215-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A4215-1", "title": "Enhancing Leadership Selection: Recommendations for a Multi-Factor, AI-Supported Assessment Tool for the Evaluation and Selection of U.S. Air Force Squadron Command Teams", "summary": "Recommends a multi-factor assessment for selecting Air Force squadron command teams, including where AI might support evaluation and what safeguards human decision-makers would need.", "publication_date": "2026-10-29", "public_release_date": "2026-10-29", "publication_year": 2026, "source_url": "https://www.rand.org/pubs/research_reports/RRA4215-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA4500/RRA4512-1/RAND_RRA4215-1.pdf", "full_text_url": null, "topics": [ "Workforce", "AI applications", "National security", "Responsible AI" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "The proposed Air Force leadership assessment includes a dedicated AI-supported component.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra5050-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A5050-1", "title": "AI Data Center Siting on Federal Lands: An Energy View", "summary": "Examines how federal land, power availability, and siting decisions could support large AI data centers, with attention to grid constraints and energy infrastructure.", "publication_date": "2026-10-02", "public_release_date": "2026-10-02", "publication_year": 2026, "source_url": "https://www.rand.org/pubs/research_reports/RRA5050-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA5000/RRA5050-1/RAND_RRA5050-1.pdf", "full_text_url": null, "topics": [ "AI infrastructure", "Environment and energy", "Federal management", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra4734-2", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A4734-2", "title": "Adversarial artificial intelligence: Implications for strategic stability of attacks on military AI systems", "summary": "Examines how attacks against military AI systems could undermine strategic stability and how adversarial interference might affect confidence and escalation.", "publication_date": "2026-09-29", "public_release_date": "2026-09-29", "publication_year": 2026, "source_url": "https://www.rand.org/pubs/research_reports/RRA4734-2.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA4700/RRA4734-2/RAND_RRA4734-2.pdf", "full_text_url": null, "topics": [ "Cybersecurity", "National security", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra4980-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A4980-1", "title": "Federal Revenue When AI Replaces Labor: An Examination of Economic Scenarios with Highly Capable Artificial Intelligence", "summary": "Models how widespread AI substitution for labor could affect U.S. federal tax receipts under different economic assumptions and identifies implications for fiscal policy.", "publication_date": "2026-08-25", "public_release_date": "2026-08-25", "publication_year": 2026, "source_url": "https://www.rand.org/pubs/research_reports/RRA4980-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA4900/RRA4980-1/RAND_RRA4980-1.pdf", "full_text_url": null, "topics": [ "Tax administration", "Workforce", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra4522-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A4522-1", "title": "Looking Beyond the Government’s Regulatory Toolkit: Early Findings on How Business and Civil Society Actors Can Help Manage and Mitigate Transformative Artificial Intelligence Risks and Impacts", "summary": "Studies how business and civil-society actors can complement public regulation in addressing the risks and impacts of transformative AI.", "publication_date": "2026-06-24", "public_release_date": "2026-06-24", "publication_year": 2026, "source_url": "https://www.rand.org/pubs/research_reports/RRA4522-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA4500/RRA4522-1/RAND_RRA4522-1.pdf", "full_text_url": null, "topics": [ "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra4269-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A4269-1", "title": "Evaluating Large Language Models' Abilities to Process and Understand Technical Policy Reports", "summary": "Develops a benchmark to test whether large language models can accurately read and reason about technical policy reports.", "publication_date": "2026-04-28", "public_release_date": "2026-04-28", "publication_year": 2026, "source_url": "https://www.rand.org/pubs/research_reports/RRA4269-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA4200/RRA4269-1/RAND_RRA4269-1.pdf", "full_text_url": null, "topics": [ "Generative AI", "AI applications", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra4266-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A4266-1", "title": "Legal and Policy Approaches to Mitigate Catastrophic Harms from AI", "summary": "Uses a structured expert study to compare legal and policy approaches to catastrophic AI risks and identify proposals with stronger expert agreement.", "publication_date": "2026-03-25", "public_release_date": "2026-03-25", "publication_year": 2026, "source_url": "https://www.rand.org/pubs/research_reports/RRA4266-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA4200/RRA4266-1/RAND_RRA4266-1.pdf", "full_text_url": null, "topics": [ "Responsible AI", "Strategy and policy", "National security" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra4316-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A4316-1", "title": "How Artificial Intelligence Could Reshape Four Essential Competitions in Future Warfare", "summary": "Proposes a framework for assessing how AI could shift four competitive dimensions of future warfare.", "publication_date": "2026-01-22", "public_release_date": "2026-01-22", "publication_year": 2026, "source_url": "https://www.rand.org/pubs/research_reports/RRA4316-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA4300/RRA4316-1/RAND_RRA4316-1.pdf", "full_text_url": null, "topics": [ "National security", "AI applications", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra2996-2", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A2996-2", "title": "An Initial Assessment of Opportunities for Technology-Enabled Civilian Talent Management in the Department of the Air Force", "summary": "Assesses ways the Department of the Air Force could use technology, including AI, to improve civilian talent management.", "publication_date": "2025-12-22", "public_release_date": "2025-12-22", "publication_year": 2025, "source_url": "https://www.rand.org/pubs/research_reports/RRA2996-2.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA2900/RRA2996-2/RAND_RRA2996-2.pdf", "full_text_url": null, "topics": [ "Workforce", "National security", "AI applications" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "AI is assessed as one of the technology options for civilian talent management.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra4250-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A4250-1", "title": "Facing the Artificial Intelligence–Cyber Nexus: A Structured Approach to Government Decisionmaking to Address Emerging Artificial Intelligence Capabilities for Cyber Attacks", "summary": "Provides a decision framework for government officials weighing responses to emerging AI capabilities for cyberattacks.", "publication_date": "2025-11-13", "public_release_date": "2025-11-13", "publication_year": 2025, "source_url": "https://www.rand.org/pubs/research_reports/RRA4250-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA4200/RRA4250-1/RAND_RRA4250-1.pdf", "full_text_url": null, "topics": [ "Cybersecurity", "National security", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra4159-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A4159-1", "title": "Governance Approaches to Securing Frontier AI", "summary": "Compares governance options for improving security at frontier model developers, including approaches available to the U.S. government.", "publication_date": "2025-10-07", "public_release_date": "2025-10-07", "publication_year": 2025, "source_url": "https://www.rand.org/pubs/research_reports/RRA4159-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA4100/RRA4159-1/RAND_RRA4159-1.pdf", "full_text_url": null, "topics": [ "Cybersecurity", "Responsible AI", "National security", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra3888-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A3888-1", "title": "Artificial Intelligence Adoption and Sectoral Transformation: Implications for Health Care, Financial Services, Climate and Energy, and Transportation", "summary": "Examines how AI adoption could change health care, finance, energy and climate, and transportation, with implications for public policy across those sectors.", "publication_date": "2025-09-23", "public_release_date": "2025-09-23", "publication_year": 2025, "source_url": "https://www.rand.org/pubs/research_reports/RRA3888-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA3800/RRA3888-1/RAND_RRA3888-1.pdf", "full_text_url": null, "topics": [ "AI applications", "Health and medicine", "Financial and consumer protection", "Environment and energy", "Transportation and autonomy", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra3888-2", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A3888-2", "title": "Rethinking Social and Economic Policy in the Age of General-Purpose Artificial Intelligence: Navigating the Cascading Impacts of AI Adoption", "summary": "Synthesizes the potential effects of general-purpose AI adoption and discusses how public institutions could adapt social and economic policies.", "publication_date": "2025-09-23", "public_release_date": "2025-09-23", "publication_year": 2025, "source_url": "https://www.rand.org/pubs/research_reports/RRA3888-2.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA3800/RRA3888-2/RAND_RRA3888-2.pdf", "full_text_url": null, "topics": [ "Workforce", "Strategy and policy", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra3157-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A3157-1", "title": "Acquiring Generative Artificial Intelligence to Improve U.S. Department of Defense Influence Activities", "summary": "Reviews Defense Department acquisition for generative AI in influence operations and recommends shared infrastructure, cross-functional teams, and more coordinated procurement.", "publication_date": "2025-07-22", "public_release_date": "2025-07-22", "publication_year": 2025, "source_url": "https://www.rand.org/pubs/research_reports/RRA3157-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA3100/RRA3157-1/RAND_RRA3157-1.pdf", "full_text_url": null, "topics": [ "Generative AI", "Procurement", "National security", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra3462-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A3462-1", "title": "Modernizing Department of Defense Civilian Human Resources: Harnessing AI for Transformative Change", "summary": "Identifies ways AI could improve civilian human resources in the Defense Department and considers organizational and implementation requirements.", "publication_date": "2025-06-24", "public_release_date": "2025-06-24", "publication_year": 2025, "source_url": "https://www.rand.org/pubs/research_reports/RRA3462-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA3400/RRA3462-1/RAND_RRA3462-1.pdf", "full_text_url": null, "topics": [ "Federal management", "Workforce", "AI applications", "National security" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra3152-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A3152-1", "title": "Improving Sense-Making with Artificial Intelligence", "summary": "Identifies AI opportunities for improving Air Force sense-making and examines considerations for putting those tools into operational use.", "publication_date": "2025-03-31", "public_release_date": "2025-03-31", "publication_year": 2025, "source_url": "https://www.rand.org/pubs/research_reports/RRA3152-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA3100/RRA3152-1/RAND_RRA3152-1.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra134-25", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A134-25", "title": "Uneven Adoption of Artificial Intelligence Tools Among U.S. Teachers and Principals in the 2023–2024 School Year", "summary": "Uses national educator survey data to compare AI adoption among teachers and principals and examine differences in school guidance and access.", "publication_date": "2025-02-11", "public_release_date": "2025-02-11", "publication_year": 2025, "source_url": "https://www.rand.org/pubs/research_reports/RRA134-25.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA100/RRA134-25/RAND_RRA134-25.pdf", "full_text_url": null, "topics": [ "AI applications", "Generative AI", "State and local government", "Workforce", "Education" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra956-21", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A956-21", "title": "Using Artificial Intelligence Tools in K–12 Classrooms", "summary": "Surveys public school districts and educators and uses interviews to document early classroom AI adoption, district guidance, and training.", "publication_date": "2024-04-17", "public_release_date": "2024-04-17", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA956-21.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA900/RRA956-21/RAND_RRA956-21.pdf", "full_text_url": null, "topics": [ "AI applications", "Generative AI", "State and local government", "Workforce", "Education" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra956-31", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A956-31", "title": "More Districts Are Training Teachers on Artificial Intelligence: Findings from the American School District Panel", "summary": "Reports national survey findings on AI training offered by public school districts, including differences in what districts have done and what they plan.", "publication_date": "2025-04-08", "public_release_date": "2025-04-08", "publication_year": 2025, "source_url": "https://www.rand.org/pubs/research_reports/RRA956-31.html", "pdf_url": null, "full_text_url": null, "topics": [ "Generative AI", "State and local government", "Workforce", "Education" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra3243-3", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A3243-3", "title": "Risk-Based AI Regulation: A Primer on the Artificial Intelligence Act of the European Union", "summary": "Explains how the European Union’s AI Act classifies systems by risk and what those classifications mean for government oversight and covered organizations.", "publication_date": "2024-11-20", "public_release_date": "2024-11-20", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA3243-3.html", "pdf_url": null, "full_text_url": null, "topics": [ "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra3084-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A3084-1", "title": "U.S. Tort Liability for Large-Scale Artificial Intelligence Damages: A Primer for Developers and Policymakers", "summary": "Explains how U.S. tort law might apply to large-scale harms from AI and identifies questions for developers and policymakers.", "publication_date": "2024-08-21", "public_release_date": "2024-08-21", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA3084-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA3000/RRA3084-1/RAND_RRA3084-1.pdf", "full_text_url": null, "topics": [ "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra2763-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A2763-1", "title": "Exploring Artificial Intelligence Use to Mitigate Potential Human Bias Within U.S. Army Intelligence Preparation of the Battlefield Processes", "summary": "Explores whether AI can mitigate human bias in Army battlefield intelligence workflows and considers the conditions needed for responsible use.", "publication_date": "2024-08-06", "public_release_date": "2024-08-06", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA2763-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA2700/RRA2763-1/RAND_RRA2763-1.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra1473-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A1473-1", "title": "Risk Assessment of Reinforcement Learning AI Systems: Looking Beyond the Technology", "summary": "Identifies risks the Defense Department may face in fielding reinforcement-learning systems, including organizational and operational factors beyond model performance.", "publication_date": "2024-07-02", "public_release_date": "2024-07-02", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA1473-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA1400/RRA1473-1/RAND_RRA1473-1.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra3194-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A3194-1", "title": "Examining the landscape of tools for trustworthy AI in the UK and the US: Current trends, future possibilities, and potential avenues for collaboration", "summary": "Maps tools for trustworthy AI in the United States and United Kingdom and identifies areas for cooperation among governments and other organizations.", "publication_date": "2024-05-14", "public_release_date": "2024-05-14", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA3194-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA3100/RRA3194-1/RAND_RRA3194-1.pdf", "full_text_url": null, "topics": [ "Responsible AI", "Strategy and policy", "Research and development" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra2873-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A2873-1", "title": "Emerging Technology and Risk Analysis: Artificial Intelligence and Critical Infrastructure", "summary": "Applies a risk-assessment method to AI and critical infrastructure, identifying potential benefits, vulnerabilities, and areas for government attention.", "publication_date": "2024-04-02", "public_release_date": "2024-04-02", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA2873-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA2800/RRA2873-1/RAND_RRA2873-1.pdf", "full_text_url": null, "topics": [ "AI applications", "Cybersecurity", "National security", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra691-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A691-1", "title": "Public Perceptions of Artificial Intelligence for Homeland Security", "summary": "Examines public views of facial recognition and other government AI uses for homeland security, including factors that influence acceptance.", "publication_date": "2024-03-20", "public_release_date": "2024-03-20", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA691-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA600/RRA691-1/RAND_RRA691-1.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Privacy and civil rights", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra1745-5", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A1745-5", "title": "Machine Learning-Enabled Recommendations for the Air Force Officer Assignment System: Volume 5", "summary": "Examines how a machine-learning recommendation engine could improve job matching in the Air Force officer assignment system.", "publication_date": "2024-03-04", "public_release_date": "2024-03-04", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA1745-5.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA1700/RRA1745-5/RAND_RR-A1745-5.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra1745-4", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A1745-4", "title": "Safe Use of Machine Learning for Air Force Human Resource Management: Volume 4, Evaluation Framework and Use Cases", "summary": "Sets out a framework for evaluating machine-learning tools for Air Force human resources, with examples and safeguards for deployment.", "publication_date": "2024-02-29", "public_release_date": "2024-02-29", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA1745-4.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA1700/RRA1745-4/RAND_RRA1745-4.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Responsible AI", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra1745-2", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A1745-2", "title": "Machine Learning in Air Force Human Resource Management: Volume 2, A Framework for Vetting Use Cases with Example Applications", "summary": "Provides a way to screen candidate AI and machine-learning applications for Air Force human resources, illustrated by personnel use cases.", "publication_date": "2024-02-15", "public_release_date": "2024-02-15", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA1745-2.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA1700/RRA1745-2/RAND_RRA1745-2.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Responsible AI", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra1745-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A1745-1", "title": "Leveraging Machine Learning to Improve Human Resource Management: Volume 1, Key Findings and Recommendations for Policymakers", "summary": "Synthesizes experiments and policy analysis on machine learning for Air Force personnel management and recommends steps for decision-makers.", "publication_date": "2024-02-12", "public_release_date": "2024-02-12", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA1745-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA1700/RRA1745-1/RAND_RRA1745-1.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Workforce", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra3079-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A3079-1", "title": "Towards AUKUS Collaboration on Responsible Military Artificial Intelligence: Co-Design and Co-Development of AI Among the United States, the UK and Australia", "summary": "Examines what the United States, United Kingdom, and Australia would need to co-develop and govern responsible military AI under AUKUS.", "publication_date": "2024-02-06", "public_release_date": "2024-02-06", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA3079-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA3000/RRA3079-1/RAND_RRA3079-1.pdf", "full_text_url": null, "topics": [ "National security", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra1722-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A1722-1", "title": "Understanding the Limits of Artificial Intelligence for Warfighters: Volume 1, Summary", "summary": "Summarizes Air Force case studies on what AI can reliably do for warfighters, where its limits matter, and how those limits should inform deployment.", "publication_date": "2024-01-03", "public_release_date": "2024-01-03", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA1722-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA1700/RRA1722-1/RAND_RRA1722-1.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra1722-3", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A1722-3", "title": "Understanding the Limits of Artificial Intelligence for Warfighters: Volume 3, Predictive Maintenance", "summary": "Tests whether AI and statistical methods can predict aircraft maintenance needs and identifies practical limitations for Air Force users.", "publication_date": "2024-01-03", "public_release_date": "2024-01-03", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA1722-3.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA1700/RRA1722-3/RAND_RRA1722-3.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra1722-5", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A1722-5", "title": "Understanding the Limits of Artificial Intelligence for Warfighters: Volume 5, Mission Planning", "summary": "Evaluates whether AI methods could support military mission planning and compares them with more traditional operations research approaches.", "publication_date": "2024-01-23", "public_release_date": "2024-01-23", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA1722-5.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA1700/RRA1722-5/RAND_RRA1722-5.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra2910-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A2910-1", "title": "Artificial Intelligence–Based Student Activity Monitoring for Suicide Risk: Considerations for K–12 Schools, Caregivers, Government, and Technology Developers", "summary": "Examines AI-based monitoring of students for suicide risk and outlines questions for schools and government about efficacy, privacy, and follow-up.", "publication_date": "2023-12-05", "public_release_date": "2023-12-05", "publication_year": 2023, "source_url": "https://www.rand.org/pubs/research_reports/RRA2910-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA2900/RRA2910-1/RAND_RRA2910-1.pdf", "full_text_url": null, "topics": [ "Health and medicine", "Privacy and civil rights", "Responsible AI", "State and local government", "Education" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra1542-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A1542-1", "title": "Advancing Equitable Decisionmaking for the Department of Defense Through Fairness in Machine Learning", "summary": "Offers a framework for evaluating fairness in Defense Department machine-learning systems and discusses its application to agency decisions.", "publication_date": "2023-06-13", "public_release_date": "2023-06-13", "publication_year": 2023, "source_url": "https://www.rand.org/pubs/research_reports/RRA1542-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA1500/RRA1542-1/RAND_RRA1542-1.pdf", "full_text_url": null, "topics": [ "National security", "Privacy and civil rights", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra866-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A866-1", "title": "Operational Feasibility of Adversarial Attacks Against Artificial Intelligence", "summary": "Assesses which adversarial attacks against AI are operationally feasible in Defense Department settings and considers steps to reduce exposure.", "publication_date": "2022-12-12", "public_release_date": "2022-12-12", "publication_year": 2022, "source_url": "https://www.rand.org/pubs/research_reports/RRA866-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA800/RRA866-1/RAND_RRA866-1.pdf", "full_text_url": null, "topics": [ "Cybersecurity", "National security", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra1498-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A1498-1", "title": "Exploring the Civil-Military Divide over Artificial Intelligence", "summary": "Surveys technical workers about defense collaborations, military uses of AI, and factors that could affect the Defense Department’s access to talent.", "publication_date": "2022-05-11", "public_release_date": "2022-05-11", "publication_year": 2022, "source_url": "https://www.rand.org/pubs/research_reports/RRA1498-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA1400/RRA1498-1/RAND_RRA1498-1.pdf", "full_text_url": null, "topics": [ "National security", "Workforce", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rr4196", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-4196", "title": "Leveraging Machine Learning for Operation Assessment", "summary": "Demonstrates how military analysts can apply machine learning to operational assessments and use the results alongside existing evaluation methods.", "publication_date": "2022-05-09", "public_release_date": "2022-05-09", "publication_year": 2022, "source_url": "https://www.rand.org/pubs/research_reports/RR4196.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RR4100/RR4196/RAND_RR4196.pdf", "full_text_url": null, "topics": [ "AI applications", "National security" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra449-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A449-1", "title": "AI Tools for Military Readiness", "summary": "Shows how AI tools could improve the detail and accuracy of military readiness assessments.", "publication_date": "2021-09-20", "public_release_date": "2021-09-20", "publication_year": 2021, "source_url": "https://www.rand.org/pubs/research_reports/RRA449-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA400/RRA449-1/RAND_RRA449-1.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Federal management" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra263-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A263-1", "title": "Exploring the Feasibility and Utility of Machine Learning-Assisted Command and Control: Volume 1, Findings and Recommendations", "summary": "Studies machine-learning support for command and control and recommends where the military should invest, experiment, and maintain human judgment.", "publication_date": "2021-07-15", "public_release_date": "2021-07-15", "publication_year": 2021, "source_url": "https://www.rand.org/pubs/research_reports/RRA263-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA200/RRA263-1/RAND_RRA263-1.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra812-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A812-1", "title": "Can Artificial Intelligence Help Improve Air Force Talent Management? An Exploratory Application", "summary": "Explores whether AI can improve Air Force talent management by matching officer characteristics and assignment requirements.", "publication_date": "2021-01-19", "public_release_date": "2021-01-19", "publication_year": 2021, "source_url": "https://www.rand.org/pubs/research_reports/RRA812-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA800/RRA812-1/RAND_RRA812-1.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rr4408z1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-4408z1", "title": "Joint All-Domain Command and Control for Modern Warfare: An Analytic Framework for Identifying and Developing Artificial Intelligence Applications", "summary": "Develops a framework for identifying and prioritizing AI applications for joint all-domain military command and control.", "publication_date": "2020-07-01", "public_release_date": "2020-07-01", "publication_year": 2020, "source_url": "https://www.rand.org/pubs/research_reports/RR4408z1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RR4400/RR4408z1/RAND_RR4408z1.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rr3139-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-3139-1", "title": "Military Applications of Artificial Intelligence: Ethical Concerns in an Uncertain World", "summary": "Examines ethical questions arising from military AI and compares development efforts and policy approaches in the United States and abroad.", "publication_date": "2020-04-28", "public_release_date": "2020-04-28", "publication_year": 2020, "source_url": "https://www.rand.org/pubs/research_reports/RR3139-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RR3100/RR3139-1/RAND_RR3139-1.pdf", "full_text_url": null, "topics": [ "National security", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rr4229", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-4229", "title": "The Department of Defense Posture for Artificial Intelligence: Assessment and Recommendations", "summary": "Assesses Defense Department AI readiness in response to a congressional mandate and recommends organizational, workforce, and policy changes.", "publication_date": "2019-12-17", "public_release_date": "2019-12-17", "publication_year": 2019, "source_url": "https://www.rand.org/pubs/research_reports/RR4229.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RR4200/RR4229/RAND_RR4229.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rr1744", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-1744", "title": "An Intelligence in Our Image: The Risks of Bias and Errors in Artificial Intelligence", "summary": "Analyzes how bias and errors enter AI systems and discusses options for reducing harms in decisions with public consequences.", "publication_date": "2017-04-05", "public_release_date": "2017-04-05", "publication_year": 2017, "source_url": "https://www.rand.org/pubs/research_reports/RR1744.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RR1700/RR1744/RAND_RR1744.pdf", "full_text_url": null, "topics": [ "Privacy and civil rights", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra4685-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A4685-1", "title": "Securing AI Algorithmic Insights", "summary": "Examines options for protecting advanced AI algorithmic insights and how different security policies could affect competition and diffusion.", "publication_date": "2026-07-20", "public_release_date": "2026-07-20", "publication_year": 2026, "source_url": "https://www.rand.org/pubs/research_reports/RRA4685-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA4600/RRA4685-1/RAND_RRA4685-1.pdf", "full_text_url": null, "topics": [ "AI infrastructure", "Cybersecurity", "National security", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra5284-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A5284-1", "title": "Public procurement and AI governance: Developing a strategic framework for middle powers", "summary": "Develops options for using government contracts to secure AI safety and evaluation commitments and considers how countries could coordinate purchasing requirements.", "publication_date": "2026-09-11", "public_release_date": "2026-09-11", "publication_year": 2026, "source_url": "https://www.rand.org/pubs/research_reports/RRA5284-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA5200/RRA5284-1/RAND_RRA5284-1.pdf", "full_text_url": null, "topics": [ "Procurement", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra4625-1", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A4625-1", "title": "AI and the Future of Emergency Management: Market Supply and Adoption Pathways", "summary": "Reviews the market for AI products used in emergency management and identifies procurement and implementation barriers that affect adoption.", "publication_date": "2026-08-04", "public_release_date": "2026-08-04", "publication_year": 2026, "source_url": "https://www.rand.org/pubs/research_reports/RRA4625-1.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA4600/RRA4625-1/RAND_RRA4625-1.pdf", "full_text_url": null, "topics": [ "AI applications", "Procurement", "State and local government" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra1745-3", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A1745-3", "title": "The Personnel Records Scoring System: Volume 3, A Methodology for Designing Tools to Support Air Force Human Resources Decisionmaking", "summary": "Uses natural-language processing and machine learning to extract comparable information from Air Force officer performance reports.", "publication_date": "2024-02-27", "public_release_date": "2024-02-27", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA1745-3.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA1700/RRA1745-3/RAND_RRA1745-3.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra1722-2", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A1722-2", "title": "Understanding the Limits of Artificial Intelligence for Warfighters: Volume 2, Distributional Shift in Cybersecurity Datasets", "summary": "Assesses how changes between training data and operational data can reduce the reliability of military AI used in cybersecurity.", "publication_date": "2024-01-03", "public_release_date": "2024-01-03", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA1722-2.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA1700/RRA1722-2/RAND_RRA1722-2.pdf", "full_text_url": null, "topics": [ "Cybersecurity", "National security", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "rand:rra1722-4", "publisher_id": "rand", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "RR-A1722-4", "title": "Understanding the Limits of Artificial Intelligence for Warfighters: Volume 4, Wargames", "summary": "Assesses the limits of applying AI to wargaming and identifies areas where additional investment could make it useful.", "publication_date": "2024-01-03", "public_release_date": "2024-01-03", "publication_year": 2024, "source_url": "https://www.rand.org/pubs/research_reports/RRA1722-4.html", "pdf_url": "https://www.rand.org/content/dam/rand/pubs/research_reports/RRA1700/RRA1722-4/RAND_RRA1722-4.pdf", "full_text_url": null, "topics": [ "AI applications", "National security", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The RAND publication directly studies an AI application, risk, or policy question relevant to public institutions.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:ai-key-policy-options-and-principles-state-and-local", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Policy brief", "source_reference_id": "Mercatus Center", "title": "Shaping the AI Revolution: Key Policy Options and Principles for State and Local Leaders in 2024", "summary": "Offers state and local leaders a menu of options for adopting AI in public services, reviewing existing legal barriers, and addressing risks such as deepfakes.", "publication_date": "2024-10-22", "public_release_date": "2024-10-22", "publication_year": 2024, "source_url": "https://www.mercatus.org/research/policy-briefs/ai-key-policy-options-and-principles-state-and-local", "pdf_url": "https://www.mercatus.org/media/175726/download?attachment", "full_text_url": null, "topics": [ "Strategy and policy", "State and local government", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:how-do-we-prepare-government-ai", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Public comment", "source_reference_id": "Mercatus Center", "title": "How Do We Prepare the Government for AI?", "summary": "Comments on draft federal AI-use guidance and recommends steps to help agencies acquire, test, govern, and use AI.", "publication_date": "2023-12-05", "public_release_date": "2023-12-05", "publication_year": 2023, "source_url": "https://www.mercatus.org/research/public-interest-comments/how-do-we-prepare-government-ai", "pdf_url": "https://www.mercatus.org/media/169501/download?attachment", "full_text_url": null, "topics": [ "Federal management", "Procurement", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:building-americas-applied-ai-workforce-strategies-effective-technology", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Policy brief", "source_reference_id": "Mercatus Center", "title": "Building America’s Applied AI Workforce: Strategies for Effective Technology Diffusion", "summary": "Recommends ways policymakers and training institutions can develop an applied AI workforce and help employers adopt the technology.", "publication_date": "2024-09-11", "public_release_date": "2024-09-11", "publication_year": 2024, "source_url": "https://www.mercatus.org/research/policy-briefs/building-americas-applied-ai-workforce-strategies-effective-technology", "pdf_url": "https://www.mercatus.org/media/174606/download?attachment", "full_text_url": null, "topics": [ "Strategy and policy", "Workforce", "State and local government" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:state-ai-policy-principles", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Policy spotlight", "source_reference_id": "Mercatus Center", "title": "State AI Policy Principles", "summary": "Distills an earlier Mercatus brief into a short set of principles for state policymakers considering AI adoption, regulation, and experimentation.", "publication_date": "2025-04-10", "public_release_date": "2025-04-10", "publication_year": 2025, "source_url": "https://www.mercatus.org/research/policy-spotlights/state-ai-policy-principles", "pdf_url": "https://www.mercatus.org/media/179231/download?attachment", "full_text_url": null, "topics": [ "Strategy and policy", "State and local government" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [ "This policy spotlight distills the publisher’s 2024 state and local leaders policy brief." ] }, { "id": "mercatus:critical-risks-rethinking-critical-infrastructure-policy-targeted-ai", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Policy brief", "source_reference_id": "Mercatus Center", "title": "Critical Risks: Rethinking Critical Infrastructure Policy for Targeted AI Regulation", "summary": "Argues for focusing AI oversight on systems and uses that could threaten critical infrastructure, drawing distinctions among types of infrastructure risk.", "publication_date": "2024-03-25", "public_release_date": "2024-03-25", "publication_year": 2024, "source_url": "https://www.mercatus.org/research/policy-briefs/critical-risks-rethinking-critical-infrastructure-policy-targeted-ai", "pdf_url": "https://www.mercatus.org/media/174741/download?attachment", "full_text_url": null, "topics": [ "Cybersecurity", "National security", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:executive-orders-ai-how-lawfully-apply-defense-production-act", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Policy brief", "source_reference_id": "Mercatus Center", "title": "Executive Orders on AI: How to (Lawfully) Apply the Defense Production Act", "summary": "Analyzes the scope of federal authority under the Defense Production Act and its application to executive orders governing advanced AI.", "publication_date": "2025-01-21", "public_release_date": "2025-01-21", "publication_year": 2025, "source_url": "https://www.mercatus.org/research/policy-briefs/executive-orders-ai-how-lawfully-apply-defense-production-act", "pdf_url": "https://www.mercatus.org/media/178021/download?attachment", "full_text_url": null, "topics": [ "AI infrastructure", "National security", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:building-ai-ready-america-adopting-ai-work", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Testimony", "source_reference_id": "Mercatus Center", "title": "Building an AI-Ready America: Adopting AI at Work", "summary": "Congressional testimony on workplace AI adoption and gaps in federal data collection, with recommendations for improving measurement and workforce policy.", "publication_date": "2026-02-03", "public_release_date": "2026-02-03", "publication_year": 2026, "source_url": "https://www.mercatus.org/research/federal-testimonies/building-ai-ready-america-adopting-ai-work", "pdf_url": "https://www.mercatus.org/media/183896/download?attachment", "full_text_url": null, "topics": [ "Workforce", "Strategy and policy", "Data governance" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:compounding-intelligence-adapting-ai-revolution", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Research paper", "source_reference_id": "Mercatus Center", "title": "Compounding Intelligence: Adapting to the AI Revolution", "summary": "Examines how compute, data, and algorithmic improvements are changing AI capabilities, and discusses implications for national security, economic policy, and public institutions.", "publication_date": "2024-08-27", "public_release_date": "2024-08-27", "publication_year": 2024, "source_url": "https://www.mercatus.org/research/research-papers/compounding-intelligence-adapting-ai-revolution", "pdf_url": "https://www.mercatus.org/media/174066/download?attachment", "full_text_url": null, "topics": [ "AI infrastructure", "National security", "Research and development", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:re-request-information-regulatory-reform-artificial-intelligence", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Public comment", "source_reference_id": "Mercatus Center", "title": "Re: Request for Information—Regulatory Reform on Artificial Intelligence", "summary": "An OSTP submission recommending changes to federal AI oversight and steps that would help tribal governments participate in AI governance and adoption.", "publication_date": "2025-10-28", "public_release_date": "2025-10-28", "publication_year": 2025, "source_url": "https://www.mercatus.org/research/public-interest-comments/re-request-information-regulatory-reform-artificial-intelligence", "pdf_url": "https://www.mercatus.org/media/183036/download?attachment", "full_text_url": null, "topics": [ "Federal management", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:artificial-intelligence-intro-for-policymakers", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Research paper", "source_reference_id": "Mercatus Center", "title": "Artificial Intelligence: An Introduction for Policymakers, Revised Edition", "summary": "Explains the technologies behind AI and provides policymakers with context on federal and state oversight, public research, and risks involving data, compute, and algorithms.", "publication_date": "2024-10-08", "public_release_date": "2024-10-08", "publication_year": 2024, "source_url": "https://www.mercatus.org/research/research-papers/artificial-intelligence-intro-for-policymakers", "pdf_url": "https://www.mercatus.org/media/175366/download?attachment", "full_text_url": null, "topics": [ "AI infrastructure", "Research and development", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:artificial-intelligence-and-public-policy", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Research paper", "source_reference_id": "Mercatus Center", "title": "Artificial Intelligence and Public Policy", "summary": "Examines the policy case for relying on existing laws and oversight institutions as AI and autonomous systems develop.", "publication_date": "2017-08-23", "public_release_date": "2017-08-23", "publication_year": 2017, "source_url": "https://www.mercatus.org/research/research-papers/artificial-intelligence-and-public-policy", "pdf_url": "https://www.mercatus.org/media/64601/download?attachment", "full_text_url": null, "topics": [ "Strategy and policy", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:key-policy-options-and-principles-federal-leaders-2024", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Policy brief", "source_reference_id": "Mercatus Center", "title": "Shaping the AI Revolution: Key Policy Options and Principles for Federal Leaders in 2024", "summary": "Recommends federal action on AI adoption, research, critical infrastructure, oversight, and technical talent.", "publication_date": "2024-10-22", "public_release_date": "2024-10-22", "publication_year": 2024, "source_url": "https://www.mercatus.org/research/policy-briefs/key-policy-options-and-principles-federal-leaders-2024", "pdf_url": "https://www.mercatus.org/media/175721/download?attachment", "full_text_url": null, "topics": [ "Federal management", "National security", "Responsible AI", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:ai-and-american-workforce", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Testimony", "source_reference_id": "Mercatus Center", "title": "AI and the American Workforce", "summary": "Congressional testimony that reviews evidence about AI and jobs and proposes changes to federal data collection and workforce supports.", "publication_date": "2026-07-29", "public_release_date": "2026-07-29", "publication_year": 2026, "source_url": "https://www.mercatus.org/research/federal-testimonies/ai-and-american-workforce", "pdf_url": "https://www.mercatus.org/media/186936/download?attachment", "full_text_url": null, "topics": [ "Strategy and policy", "Workforce", "Data governance" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:lost-machine-translation-case-study-enabling-flexible-government-ai-risk", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Policy brief", "source_reference_id": "Mercatus Center", "title": "Lost in (Machine) Translation: A Case Study in Enabling Flexible Government AI Risk Management", "summary": "Uses machine translation to examine how federal AI risk requirements could apply differently depending on the use case and consequences of error.", "publication_date": "2024-09-19", "public_release_date": "2024-09-19", "publication_year": 2024, "source_url": "https://www.mercatus.org/research/policy-briefs/lost-machine-translation-case-study-enabling-flexible-government-ai-risk", "pdf_url": "https://www.mercatus.org/media/174791/download?attachment", "full_text_url": null, "topics": [ "AI applications", "Federal management", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:state-ai-task-forces-need-protect-civil-liberties", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Policy brief", "source_reference_id": "Mercatus Center", "title": "State AI Task Forces Need to Protect Civil Liberties", "summary": "Recommends that state AI task forces examine how agencies use AI and make civil liberties a priority in their policy recommendations.", "publication_date": "2023-10-16", "public_release_date": "2023-10-16", "publication_year": 2023, "source_url": "https://www.mercatus.org/research/policy-briefs/state-ai-task-forces-need-protect-civil-liberties", "pdf_url": "https://www.mercatus.org/media/167541/download?attachment", "full_text_url": null, "topics": [ "Privacy and civil rights", "Responsible AI", "State and local government", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:ombs-ai-guidance-embodies-wise-tech-governance", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Public comment", "source_reference_id": "Mercatus Center", "title": "OMB's AI Guidance Embodies Wise Tech Governance", "summary": "Responds to draft OMB guidance for federal agencies regulating AI applications and argues for risk-based oversight and consideration of nonregulatory options.", "publication_date": "2020-03-13", "public_release_date": "2020-03-13", "publication_year": 2020, "source_url": "https://www.mercatus.org/research/public-interest-comments/ombs-ai-guidance-embodies-wise-tech-governance", "pdf_url": "https://www.mercatus.org/media/70991/download?attachment", "full_text_url": null, "topics": [ "Federal management", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:preparing-future-artificial-intelligence", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Public comment", "source_reference_id": "Mercatus Center", "title": "Preparing for the Future of Artificial Intelligence", "summary": "Responds to an OSTP request for input on AI governance and argues for adaptable oversight grounded in existing regulatory tools.", "publication_date": "2016-07-22", "public_release_date": "2016-07-22", "publication_year": 2016, "source_url": "https://www.mercatus.org/research/public-interest-comments/preparing-future-artificial-intelligence", "pdf_url": "https://www.mercatus.org/media/58826/download?attachment", "full_text_url": null, "topics": [ "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:response-request-information-regulatory-reform-artificial", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Public comment", "source_reference_id": "Mercatus Center", "title": "Response to Request for Information on Regulatory Reform on Artificial Intelligence", "summary": "An OSTP submission recommending tax-policy changes that would encourage employers to train workers as they adopt AI.", "publication_date": "2025-10-28", "public_release_date": "2025-10-28", "publication_year": 2025, "source_url": "https://www.mercatus.org/research/public-interest-comments/response-request-information-regulatory-reform-artificial", "pdf_url": "https://www.mercatus.org/media/183031/download?attachment", "full_text_url": null, "topics": [ "Tax administration", "Workforce", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:measuring-how-americans-use-artificial-intelligence", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Public comment", "source_reference_id": "Mercatus Center", "title": "Measuring How Americans Use Artificial Intelligence: Recommendations for the AMERICAN TIME USE SURVEY (ATUS) AI Questions", "summary": "Proposes questions for the federal American Time Use Survey to measure where people use AI and which activities it affects.", "publication_date": "2026-09-08", "public_release_date": "2026-09-08", "publication_year": 2026, "source_url": "https://www.mercatus.org/research/public-interest-comments/measuring-how-americans-use-artificial-intelligence", "pdf_url": "https://www.mercatus.org/media/187481/download?attachment", "full_text_url": null, "topics": [ "Data governance", "Federal management", "Workforce", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "mercatus:comments-urging-sectoral-approach-ai-accountability", "publisher_id": "mercatus", "reference_type": "institutional_research", "publication_type": "Public comment", "source_reference_id": "Mercatus Center", "title": "Comments Urging a Sectoral Approach to AI Accountability", "summary": "An NTIA submission arguing that existing sector regulators should take the lead on AI accountability and explaining how sector-specific oversight could work.", "publication_date": "2023-06-14", "public_release_date": "2023-06-14", "publication_year": 2023, "source_url": "https://www.mercatus.org/research/public-interest-comments/comments-urging-sectoral-approach-ai-accountability", "pdf_url": "https://www.mercatus.org/media/163336/download?attachment", "full_text_url": null, "topics": [ "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The publication addresses an AI policy, regulation, or implementation question for public decision-makers.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "partnership-public-service:congress-federal-ai", "publisher_id": "partnership-public-service", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "Partnership for Public Service", "title": "How Congress Should Shape AI Implementation in Federal Agencies", "summary": "Uses practitioner input to recommend congressional action on federal AI capacity, procurement, oversight, and the workforce.", "publication_date": "2026-01-15", "public_release_date": "2026-01-15", "publication_year": 2026, "source_url": "https://ourpublicservice.org/know-the-facts/resource-library/reports/how-congress-should-shape-ai-implementation-in-federal-agencies", "pdf_url": "https://ourpublicservice.org/wp-content/uploads/2026/01/How-Congress-Should-Shape-AI-Implementation-in-Federal-Agencies.pdf", "full_text_url": null, "topics": [ "Federal management", "Procurement", "Responsible AI", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "The Partnership publication directly addresses government AI adoption, evaluation, or oversight.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "partnership-public-service:in-the-public-ai", "publisher_id": "partnership-public-service", "reference_type": "institutional_research", "publication_type": "Research brief", "source_reference_id": "Partnership for Public Service", "title": "In the Public AI: How Governments Can Apply Responsible AI Principles to Artificial Intelligence for Public Service Delivery", "summary": "Draws on expert interviews and roundtables to help public service leaders frame problems, assess their data and talent, and build in accountability before deploying AI.", "publication_date": "2022-12-14", "public_release_date": "2022-12-14", "publication_year": 2022, "source_url": "https://ourpublicservice.org/know-the-facts/resource-library/reports/in-the-public-ai", "pdf_url": "https://archive.ourpublicservice.org/wp-content/uploads/sites/18/2022/12/In-the-Public-AI.pdf", "full_text_url": null, "topics": [ "AI applications", "Data governance", "Responsible AI", "State and local government" ], "ai_relevance": "Core AI", "relevance_note": "The Partnership publication directly addresses government AI adoption, evaluation, or oversight.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "partnership-public-service:public-service-delivery-guide", "publisher_id": "partnership-public-service", "reference_type": "institutional_research", "publication_type": "Guide", "source_reference_id": "Partnership for Public Service", "title": "Artificial Intelligence for Public Service Delivery: Guiding Questions for Non-technical Government Leaders", "summary": "Provides practical questions for nontechnical public managers to assess suitability, data readiness, acquisition, implementation, and monitoring of AI for public services.", "publication_date": "2022-12-14", "public_release_date": "2022-12-14", "publication_year": 2022, "source_url": "https://ourpublicservice.org/wp-content/uploads/2023/06/Artificial-Intelligence-for-Public-Service-Delivery-v2.pdf", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Data governance", "Procurement", "Responsible AI" ], "ai_relevance": "Core AI", "relevance_note": "The Partnership publication directly addresses government AI adoption, evaluation, or oversight.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "partnership-public-service:into-the-storm", "publisher_id": "partnership-public-service", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "Partnership for Public Service", "title": "Into the Storm: Using Artificial Intelligence to Improve California’s Disaster Resilience", "summary": "Examines how federal, state, and local agencies could use AI for disaster prediction, damage assessment, and resilience in California, drawing on expert interviews.", "publication_date": "2020-07-09", "public_release_date": "2020-07-09", "publication_year": 2020, "source_url": "https://archive.ourpublicservice.org/publications/into-the-storm-using-artificial-intelligence-to-improve-californias-disaster-resilience/", "pdf_url": "https://ourpublicservice.org/wp-content/uploads/2020/07/Into-the-Storm.pdf", "full_text_url": null, "topics": [ "AI applications", "Environment and energy", "State and local government" ], "ai_relevance": "Core AI", "relevance_note": "The Partnership publication directly addresses government AI adoption, evaluation, or oversight.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "partnership-public-service:cracking-the-code", "publisher_id": "partnership-public-service", "reference_type": "institutional_research", "publication_type": "Report", "source_reference_id": "Partnership for Public Service", "title": "Cracking the Code: Harnessing the Exponential Power of Technology", "summary": "Documents federal use of AI alongside immersive technology and edge computing and examines how agencies can integrate these technologies into government operations.", "publication_date": "2020-05-12", "public_release_date": "2020-05-12", "publication_year": 2020, "source_url": "https://archive.ourpublicservice.org/publications/cracking-the-code/", "pdf_url": "https://archive.ourpublicservice.org/wp-content/uploads/sites/18/2020/05/Cracking-the-Code.pdf", "full_text_url": null, "topics": [ "AI applications", "AI infrastructure", "Federal management" ], "ai_relevance": "Substantive AI coverage", "relevance_note": "The report examines concrete AI uses as part of a broader public-sector technology analysis.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "partnership-public-service:federal-ai-survey", "publisher_id": "partnership-public-service", "reference_type": "institutional_research", "publication_type": "Survey analysis", "source_reference_id": "Partnership for Public Service", "title": "Insights on the Use of AI Across Government", "summary": "Summarizes a Partnership survey of federal executives on current AI uses, barriers to adoption, workforce readiness, and responsible implementation.", "publication_date": "2024-07-15", "public_release_date": "2024-07-15", "publication_year": 2024, "source_url": "https://archive.ourpublicservice.org/blog/insights-on-the-use-of-ai-across-government/", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Federal management", "Responsible AI", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "The Partnership publication directly addresses government AI adoption, evaluation, or oversight.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "partnership-public-service:ostp-regulatory-reform", "publisher_id": "partnership-public-service", "reference_type": "institutional_research", "publication_type": "Public comment", "source_reference_id": "Partnership for Public Service", "title": "Partnership for Public Service Responds to OSTP Request for Information on ‘Regulatory Reform on Artificial Intelligence’", "summary": "Recommends reducing federal barriers to gathering public feedback and updating federal privacy practices to support responsible government AI.", "publication_date": "2025-10-24", "public_release_date": "2025-11-03", "publication_year": 2025, "source_url": "https://aicenterforgovernment.org/2025/11/03/partnership-for-public-service-responds-to-ostp-request-for-information-on-regulatory-reform-on-artificial-intelligence/", "pdf_url": "https://aicenterforgovernment.org/wp-content/uploads/sites/14/2025/11/Partnership-for-Public-Service-Comments-OSTP-RFI-Regulatory-Reform-on-Artificial-Intelligence.pdf", "full_text_url": null, "topics": [ "Data governance", "Federal management", "Privacy and civil rights", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The Partnership publication directly addresses government AI adoption, evaluation, or oversight.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "partnership-public-service:government-ai-evaluation-cases", "publisher_id": "partnership-public-service", "reference_type": "institutional_research", "publication_type": "Research collection", "source_reference_id": "Partnership for Public Service", "title": "Government AI Evaluation Case Stories", "summary": "Collects government case studies and practitioner perspectives on evaluating the real-world impacts of AI and measuring outcomes across agencies.", "publication_date": "2026-08-18", "public_release_date": "2026-08-18", "publication_year": 2026, "source_url": "https://aicenterforgovernment.org/government_ai_evaluation_case_stories/", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Responsible AI", "State and local government" ], "ai_relevance": "Core AI", "relevance_note": "The Partnership publication directly addresses government AI adoption, evaluation, or oversight.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "partnership-public-service:ai-use-case-lessons", "publisher_id": "partnership-public-service", "reference_type": "institutional_research", "publication_type": "Case study", "source_reference_id": "Partnership for Public Service", "title": "Harnessing AI for Better Government: Practical Use Cases and Lessons Learned", "summary": "Summarizes practitioner lessons from government AI deployments, including how agencies identified suitable uses and managed implementation.", "publication_date": "2025-06-12", "public_release_date": "2025-06-12", "publication_year": 2025, "source_url": "https://aicenterforgovernment.org/2025/06/12/harnessing-ai-for-better-government-practical-use-cases-and-lessons-learned/", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Federal management", "Responsible AI", "State and local government" ], "ai_relevance": "Core AI", "relevance_note": "The Partnership publication directly addresses government AI adoption, evaluation, or oversight.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "partnership-public-service:trust-through-use-cases", "publisher_id": "partnership-public-service", "reference_type": "institutional_research", "publication_type": "Case study", "source_reference_id": "Partnership for Public Service", "title": "AI Use Cases in Government: Building Trust Through Best Practices", "summary": "Draws lessons from deployments discussed by public-sector practitioners and describes practices for building confidence in government AI.", "publication_date": "2026-04-02", "public_release_date": "2026-04-02", "publication_year": 2026, "source_url": "https://aicenterforgovernment.org/2026/04/02/ai-use-cases-in-government-building-trust-through-best-practices/", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Responsible AI", "State and local government" ], "ai_relevance": "Core AI", "relevance_note": "The Partnership publication directly addresses government AI adoption, evaluation, or oversight.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "partnership-public-service:evaluation-toolkit", "publisher_id": "partnership-public-service", "reference_type": "institutional_research", "publication_type": "Toolkit", "source_reference_id": "Partnership for Public Service", "title": "Evaluation Toolkit", "summary": "Organizes practical steps for government teams to plan and carry out social impact evaluations of AI, with tools for defining outcomes and using evidence in deployment decisions.", "publication_date": "2026-11-04", "public_release_date": "2026-11-04", "publication_year": 2026, "source_url": "https://aicenterforgovernment.org/evaluation-roadmap/", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Responsible AI", "State and local government" ], "ai_relevance": "Core AI", "relevance_note": "The Partnership publication directly addresses government AI adoption, evaluation, or oversight.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "partnership-public-service:colorado-ai-evaluation", "publisher_id": "partnership-public-service", "reference_type": "institutional_research", "publication_type": "Case study", "source_reference_id": "Partnership for Public Service", "title": "Demos, Not Memos: How Colorado Is Rethinking AI Evaluation", "summary": "Examines how Colorado uses demonstrations and iterative review to evaluate government AI systems in their operational context.", "publication_date": "2026-07-08", "public_release_date": "2026-07-08", "publication_year": 2026, "source_url": "https://aicenterforgovernment.org/demos-not-memos-how-colorado-is-rethinking-ai-evaluation/", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Responsible AI", "State and local government" ], "ai_relevance": "Core AI", "relevance_note": "The Partnership publication directly addresses government AI adoption, evaluation, or oversight.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "partnership-public-service:maryland-innovation-lab", "publisher_id": "partnership-public-service", "reference_type": "institutional_research", "publication_type": "Case study", "source_reference_id": "Partnership for Public Service", "title": "Building the Conditions for Responsible AI: Inside Maryland’s AI Innovation Lab", "summary": "Examines how Maryland’s AI Innovation Lab supports responsible agency experimentation and brings governance and evaluation into project design.", "publication_date": "2026-08-17", "public_release_date": "2026-08-17", "publication_year": 2026, "source_url": "https://aicenterforgovernment.org/building-the-conditions-for-responsible-ai-inside-marylands-ai-innovation-lab/", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Responsible AI", "State and local government" ], "ai_relevance": "Core AI", "relevance_note": "The Partnership publication directly addresses government AI adoption, evaluation, or oversight.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "partnership-public-service:omb-ai-memo-comments", "publisher_id": "partnership-public-service", "reference_type": "institutional_research", "publication_type": "Public comment", "source_reference_id": "Partnership for Public Service", "title": "Comments on OMB’s Draft Memorandum on Governance, Innovation, and Risk Management for Agency Use of AI", "summary": "Recommends a federal AI human-capital framework covering hiring, classification, training, leadership, and workforce risks.", "publication_date": "2023-12-04", "public_release_date": "2023-12-04", "publication_year": 2023, "source_url": "https://ourpublicservice.org/wp-content/uploads/2023/12/Partnership-for-Public-Service_Comments-on-OMB-AI-Memo.pdf", "pdf_url": null, "full_text_url": null, "topics": [ "Federal management", "Responsible AI", "Strategy and policy", "Workforce" ], "ai_relevance": "Core AI", "relevance_note": "The submission makes specific recommendations on how federal agencies govern and use AI.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] }, { "id": "partnership-public-service:senate-ai-customer-experience", "publisher_id": "partnership-public-service", "reference_type": "institutional_research", "publication_type": "Letter for the record", "source_reference_id": "Partnership for Public Service", "title": "Harnessing AI to Improve Government Services and Customer Experience: Letter for the Record", "summary": "Recommends that federal agencies coordinate AI and customer experience governance, improve how they collect service feedback, and build capacity to deploy AI responsibly.", "publication_date": "2024-01-10", "public_release_date": "2024-01-10", "publication_year": 2024, "source_url": "https://ourpublicservice.org/wp-content/uploads/2024/01/Partnership-for-Public-Service_Letter-for-the-Record_HSGAC-Hearing-on-AI-and-CX-01-10-24.pdf", "pdf_url": null, "full_text_url": null, "topics": [ "AI applications", "Data governance", "Federal management", "Responsible AI", "Strategy and policy" ], "ai_relevance": "Core AI", "relevance_note": "The submission makes specific recommendations on how federal agencies govern and use AI.", "verified_on": "2026-11-13", "evidence_review": "Official publisher publication page or PDF", "editorial_notes": [] } ] }