Advancing Nuclear Regulatory Oversight Act

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Defunct
• Most recent activity date: 2025-01-03

Risk subdomain coverage

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• Competitive dynamics
• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal coverage of AI risk domains. It briefly mentions AI and machine learning as tools for improving nuclear oversight (subdomain 6.4 Competitive Dynamics and 7.3 Lack of Robustness), but does not substantively address the risks associated with these technologies. The document is primarily focused on nuclear regulatory efficiency rather than AI governance.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Trade, Transportation & Utilities
• Public Administration (excl. National Security)

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Scientific Research & Development Services

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the Public Administration sector (specifically the Nuclear Regulatory Commission) and the Trade, Transportation and Utilities sector (nuclear energy utilities and licensees). It focuses on improving regulatory oversight practices for civilian nuclear facilities.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act introduced in the U.S. House of Representatives with mandatory reporting requirements, specific deadlines, and enforceable obligations on the Nuclear Regulatory Commission.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Mrs. Lesko; Committee on Energy and Commerce
• Summary: The bill was introduced by Mrs. Lesko in the House of Representatives and referred to the Committee on Energy and Commerce, indicating Congress as the proposing body.

Target

• Entity Types: AI_Governance_Actor
• Entities: Nuclear Regulatory Commission; licensees (persons holding licenses under sections 103 or 104 of the Atomic Energy Act of 1954)
• Summary: The Act primarily targets the Nuclear Regulatory Commission, requiring it to submit reports, develop improvements, and modify oversight practices. It also indirectly affects licensees who are subject to NRC oversight.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Committee on Energy and Commerce of the House of Representatives; Committee on Environment and Public Works of the Senate; Comptroller General of the United States
• Summary: Congressional committees are designated to receive reports and provide oversight. The Comptroller General is tasked with conducting an independent review of NRC facilities.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Committee on Energy and Commerce of the House of Representatives; Committee on Environment and Public Works of the Senate; Comptroller General of the United States
• Summary: The same congressional committees that enforce also monitor through receipt of mandatory reports. The Comptroller General provides independent monitoring through facility reviews.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document briefly mentions AI and machine learning as tools to be incorporated into nuclear oversight and inspection processes, primarily at the deployment and operational stages. However, it does not provide detailed governance of AI development lifecycle stages.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

No technical scope terms identified.

Technical Scope Summary

The document mentions AI and machine learning only briefly as tools for improving nuclear regulatory oversight. It does not define AI models or systems, nor does it mention frontier AI, general purpose AI, foundation models, or compute thresholds. The focus is on practical application of AI/ML technologies rather than technical AI governance.