Prioritizes nonanimal methods in NIH research. Establishes the National Center for Alternatives to Animals in Research and Testing to develop and support humane scientific methods, including AI. Requires federally funded entities to report animal usage, encouraging reductions.
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 coverage of AI risk domains, with only subdomain 7.3 (Lack of robustness) receiving a score above 1. The primary focus is on animal research alternatives and the development of AI as a tool for biomedical research, rather than addressing AI-specific risks. The document mentions AI as one of several innovative nonanimal research methods but does not address the risks associated with AI systems themselves.
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 Scientific Research and Development Services sector, specifically biomedical and behavioral research conducted or funded by the National Institutes of Health. It also has implications for the Health Care and Social Assistance sector through its impact on medical research, and the Public Administration sector as it regulates federal agencies conducting research.
Hard Law
Legislative Status Summary
This is a proposed federal statute (bill) that, if enacted, would create binding legal obligations on the National Institutes of Health and federally funded research entities. The document uses mandatory language throughout ('shall') and establishes specific requirements, reporting obligations, and institutional structures with legal force.
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 addresses multiple AI lifecycle stages with primary focus on Build and Use Model (developing AI as a nonanimal research method) and Deploy (implementing AI methods in research settings). It also covers Plan and Design through research proposal guidelines, and Operate and Monitor through ongoing reporting and progress tracking requirements.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
No technical scope terms identified.
Technical Scope Summary
The document explicitly mentions AI (artificial intelligence) as one of several innovative nonanimal research methods but does not provide detailed definitions or classifications of AI types. It does not mention AI models, AI systems, frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on AI as a research tool rather than AI governance per se.
Document data from AGORA, CSET Emerging Technology Observatory.