Instructs the Office of Science and Technology Policy to support the development of artificial intelligence tools aimed at using relevant databases to facilitate research and innovation in the field of engineering biology.
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 risk domains, with brief mentions of safety and security (2.2), ethical issues (7.4), and governance structures (6.5). Coverage is primarily focused on research support and development rather than specific AI risk mitigation. Most risk subdomains receive no coverage as this is a research funding and coordination initiative rather than a risk-focused regulatory document.
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
This document primarily governs Scientific Research and Development Services through its establishment of a national engineering biology research initiative. It also has significant coverage of Educational Services through training and workforce development provisions, and Information sector through database and computational tool development. The initiative spans multiple sectors through its research applications but is fundamentally a research and development governance framework.
Hard Law
Legislative Status Summary
This is a binding legislative act passed by the United States Congress with mandatory language directing the President and Office of Science and Technology Policy to implement specific programs and activities.
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 primarily covers the Plan and Design stage through research planning and initiative development, the Build and Use Model stage through AI tool development for database research, and the Operate and Monitor stage through ongoing research support and public engagement mechanisms. It focuses on enabling AI research infrastructure rather than deploying specific AI systems.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI tools in the context of computational tools for engineering biology research. It focuses on artificial intelligence as an enabling technology for database research and innovation in engineering biology, rather than regulating AI systems broadly. There is no mention of frontier AI, general purpose AI, foundation models, or compute thresholds.
Document data from AGORA, CSET Emerging Technology Observatory.