Leveraging Artificial Intelligence to Streamline the Code of Federal Regulations Act of 2025

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2025-03-25

Risk subdomain coverage

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

• AI system security vulnerabilities
• Governance failure
• Lack of capability or robustness
• Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of AI risk domains, with limited focus on AI system security (2.2) and governance failure (6.5). The primary emphasis is on using AI as a tool for regulatory review rather than addressing AI-specific risks. Coverage is concentrated in governance and system safety domains, with scores of 2-3 for a few subdomains.

Sector coverage

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

• 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
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This document governs Public Administration (excluding National Security) as its primary sector, as it regulates how federal agencies use AI to review and manage regulations. It has cross-cutting implications for all sectors subject to federal regulations, but does not directly govern AI use within those sectors.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act from the United States Congress with mandatory language, specific enforcement mechanisms, and legal obligations on federal agencies.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Senate and House of Representatives of the United States of America
• Summary: The document is a Congressional bill proposed by the United States Congress, as indicated by the standard legislative format and opening language.

Target

• Entity Types: AI_Governance_Actor
• Entities: Federal agencies; Office of Management and Budget; National Institute of Standards and Technology
• Summary: The Act applies to all federal agencies that promulgate regulations, requiring them to review and potentially rescind or amend regulations identified as redundant or outdated through the AI review process.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Office of Management and Budget; National Institute of Standards and Technology; individual federal agencies
• Summary: The Director of OMB is responsible for implementing and overseeing the AI review process, NIST sets standards for the AI system, and individual agencies must comply with determinations and deadlines for rescinding or amending regulations.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Office of Management and Budget; National Institute of Standards and Technology; Congress
• Summary: OMB and NIST are required to conduct annual reviews of the process and AI system to ensure proper functioning. Congress receives classified annexes when necessary. Public monitoring is enabled through mandatory publication of determinations.

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 primarily covers the Deploy and Operate and Monitor stages, as it focuses on implementing an AI system for regulatory review and establishing ongoing monitoring and review processes. There is minimal coverage of Plan and Design through requirements for NIST standards, and implicit coverage of Verify and Validate through annual review requirements.

Technical Scope

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

• AI Systems

Technical Scope Summary

The document explicitly defines and covers AI systems but does not mention AI models separately. It does not reference 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 systems as tools for regulatory review.