Requires the Director of NIST to establish a pilot program with testbeds for AI measurement standards. Involves collaboration with the Secretary of Energy and a working group. Develops standards for AI reliability, performance, security, and privacy.
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 approximately 5 subdomains, with brief mentions concentrated in technical measurement standards. Coverage includes discrimination/bias (1.1), privacy (2.1), security vulnerabilities (2.2), lack of robustness (7.3), and lack of transparency (7.4). The focus is on developing measurement standards rather than comprehensive risk mitigation.
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 Public Administration (Federal agencies) by establishing requirements for NIST and other federal agencies to develop AI evaluation standards. It also involves Scientific Research and Development Services through the establishment of research testbeds and measurement standards development activities.
Hard Law
Legislative Status Summary
This is a U.S. Congressional statute with binding legal obligations enforced through mandatory language ('shall') throughout, creating legally enforceable requirements for federal agencies and officials.
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 focuses on the Verify and Validate stage, with its core mission being to develop measurement standards and testbeds for evaluating AI systems. It also covers Plan and Design through the strategy development and establishment of testing infrastructure. The Act emphasizes pre-deployment evaluation rather than operational monitoring.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and focuses on 'artificial intelligence systems' as its core technical scope, referencing the definition from the National Artificial Intelligence Act of 2020. It does not specifically mention frontier AI, general purpose AI, foundation models, generative AI, or compute thresholds. The scope is general across AI systems used by Federal agencies.
Document data from AGORA, CSET Emerging Technology Observatory.