Directs the Director of the Office of Science and Technology Policy to submit a national AI action plan by 2027. Requires identification of regulatory barriers in specific sectors. Tasks NIST with reporting on AI security risks and bias prevention.
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 minimal to moderate coverage of approximately 5 subdomains, with focus on AI system security (2.2), bias/discrimination (1.1), competitive dynamics (6.4), governance effectiveness (6.5), and transparency (7.4). Coverage is concentrated primarily on security risks and bias prevention, with limited detail on specific harms or mitigation measures.
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 explicitly governs AI adoption in three named sectors (Healthcare, Scientific Research, and Transportation) through regulatory barrier identification. It also governs Public Administration, as it directs multiple federal agencies to develop AI strategies, partnerships, and oversight mechanisms. The focus is on removing barriers to AI adoption rather than imposing restrictions.
Hard Law
Legislative Status Summary
This is a Congressional bill that, once enacted, would create binding legal obligations on federal agencies with mandatory requirements enforced through Congressional oversight and reporting mechanisms.
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 particular emphasis on deployment (adoption of AI in sectors), data collection and processing (bias in data and training methods), and ongoing monitoring (detection and prevention measures, internal review protocols, third-party audits). The planning and design stage is addressed through infrastructure development and public-private partnerships.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document uses the broad term 'artificial intelligence' defined by reference to the National Artificial Intelligence Initiative Act of 2020, but does not specifically mention AI models, AI systems, frontier AI, general purpose AI, foundation models, or compute thresholds. The scope appears to be general and technology-neutral.
Document data from AGORA, CSET Emerging Technology Observatory.