Requires the Secretary of Health and Human Services to contract the National Academies to assess AI vulnerabilities to health security. Includes roles, responsibilities, and risk mitigation recommendations. Mandates reports to Congress on findings and subsequent health security actions.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has good coverage of approximately 5-6 subdomains, with strong focus on malicious actors (4.2 - CBRNE threats), AI system safety (7.2 - dangerous capabilities, 7.3 - lack of robustness), and governance (6.5 - governance failure). Coverage is concentrated in security, misuse prevention, and AI safety domains related to health security threats.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
The document primarily governs the Health Care and Social Assistance sector through mandated assessment of AI threats to health security. It also has significant coverage of Public Administration (excluding National Security) through requirements for Federal agencies to assess their roles and capabilities. National Security is implicitly covered through assessment of CBRNE threats.
Hard Law
Legislative Status Summary
This is a binding legislative act passed by the United States Congress with mandatory obligations on the Secretary of Health and Human Services, including specific timelines and reporting requirements to Congressional committees.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document covers multiple AI lifecycle stages with primary focus on Operate and Monitor (ongoing Federal activities, risk monitoring), and Verify and Validate (assessment of vulnerabilities). It also addresses Plan and Design through recommendations for improving Federal efforts, and implicitly covers Build and Use Model through assessment of open-source AI models and technical advancements.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI models (specifically large language models and open-source AI models) and AI systems through references to 'artificial intelligence' and 'technical advancements in artificial intelligence'. It does not explicitly define or mention frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, or compute thresholds.
Document data from AGORA, CSET Emerging Technology Observatory.