Promoting Responsible Evaluation and Procurement to Advance Readiness for Enterprise-wide Deployment for Artificial Intelligence 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

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

• Unfair discrimination and misrepresentation
• Compromise of privacy
• AI system security vulnerabilities
• Overreliance and unsafe use
• Governance failure
• Lack of capability or robustness
• Lack of transparency or interpretability

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

• Unequal performance across groups
• Disinformation, surveillance, and influence at scale
• Loss of human agency and autonomy
• Competitive dynamics
• Environmental harm

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 10-12 subdomains, with strong focus on AI system security (2.2), lack of robustness (7.3), lack of transparency (7.4), unfair discrimination (1.1), governance failure (6.5), and competitive dynamics (6.4). Coverage is concentrated in system safety, security, transparency, and discrimination prevention domains.

Sector coverage

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

• Public Administration (excl. National Security)
• National Security

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

• Information
• Professional & Technical Services
• Scientific Research & Development Services
• Educational Services
• Health Care & Social Assistance

All other sectors had no coverage in this document.

Sectors Summary

This Act governs AI use exclusively within the Public Administration sector (federal agencies). It does not regulate private sector AI use but does impose requirements on AI developers and deployers who contract with federal agencies. The governance applies across all federal agency operations, which may touch multiple sectors through government services.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress with mandatory requirements, enforcement mechanisms, and legal obligations on federal agencies. The Act uses mandatory language throughout and establishes specific compliance deadlines, penalties for non-compliance (suspension of AI use), and oversight mechanisms.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is an Act of Congress ('This Act may be cited as the Promoting Responsible Evaluation and Procurement to Advance Readiness for Enterprise-wide Deployment for Artificial Intelligence Act'), indicating it was proposed and enacted by the United States Congress as the legislative authority.

Target

• Entity Types: AI_Governance_Actor, AI_Developer, AI_Deployer
• Entities: Federal agencies (as defined in section 3502(1) of title 44, United States Code), independent regulatory agencies, AI developers, AI deployers
• Summary: The Act applies to federal agencies that develop, procure, or use AI systems, as well as to developers and deployers who provide AI to federal agencies. The Act defines 'agency' to include agencies under 44 USC 3502(1) and independent regulatory agencies, and separately defines 'developer' and 'deployer' entities.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Director of the Office of Management and Budget (OMB), Federal Acquisition Regulatory Council, Chief Artificial Intelligence Officers Council, agency heads, Chief Artificial Intelligence Officers
• Summary: The Director of OMB is given primary enforcement authority to ensure agency compliance. The Federal Acquisition Regulatory Council must update regulations. Agency heads and Chief AI Officers are responsible for implementing and enforcing requirements within their agencies.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Director of the Office of Management and Budget, Chief Artificial Intelligence Officers Council, Comptroller General of the United States (Government Accountability Office), Chief Artificial Intelligence Officers, Congressional committees (Committee on Homeland Security and Governmental Affairs of the Senate and Committee on Oversight and Accountability of the House of Representatives)
• Summary: The Director and Council monitor implementation through annual briefings and reviews. The Comptroller General (GAO) conducts oversight reviews. Chief AI Officers monitor ongoing AI use. Congressional committees receive regular reports.

AI Lifecycle Stages

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

• Plan and Design
• Collect and Process Data
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document comprehensively covers all AI lifecycle stages with particular emphasis on procurement planning, deployment, and operational monitoring. It addresses design requirements, data collection and processing standards, model development and procurement, extensive verification and validation procedures, deployment requirements, and ongoing monitoring obligations.

Technical Scope

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

• AI Models
• AI Systems
• Open Weight / Open Source

Technical Scope Summary

The document explicitly mentions and defines both AI systems and artificial intelligence broadly, referencing the National Artificial Intelligence Initiative Act definition. It does not specifically mention frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, or open-weight models. There is no explicit mention of compute thresholds. The focus is on AI systems used by federal agencies regardless of their technical classification.