To provide for Federal civilian agency laboratory development for testing and certification of artificial intelligence for civilian agency use, and for other purposes.

• 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
• Loss of human agency and autonomy
• 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
• Increased inequality and decline in employment
• AI pursuing its own goals

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 8-10 subdomains, with strong focus on governance (6.5), privacy (2.1), discrimination and rights protection (1.1, 1.3), human agency (5.2), AI system robustness (7.3), and transparency (7.4). Coverage is concentrated in governance structures, rights protection, and AI system testing 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)

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

• Health Care & Social Assistance

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs Public Administration (excluding National Security) as it establishes requirements for Federal civilian agencies' acquisition and use of AI systems. It does not regulate private sector activities but rather internal government operations across all civilian federal agencies.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative bill with mandatory language throughout, establishing legal obligations for federal agencies with specific enforcement mechanisms, reporting requirements, and appropriated funding.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is explicitly identified as a Congressional bill with the opening 'Be it enacted by the Senate and House of Representatives of the United States of America in Congress assembled'

Target

• Entity Types: AI_Governance_Actor, AI_Developer, AI_Deployer
• Entities: Federal civilian agencies; Department of Homeland Security; Federal Emergency Management Agency
• Summary: The bill targets Federal civilian agencies that will acquire and use AI systems, requiring them to utilize testing centers and report adverse experiences. It also targets AI developers whose systems will be tested and scored for federal use.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Department of Homeland Security; Federal Emergency Management Agency; Secretary of Homeland Security
• Summary: The Secretary of Homeland Security, acting through FEMA, is designated as the primary enforcement authority responsible for developing testing centers, establishing the incident reporting office, and ensuring compliance with requirements.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Department of Homeland Security; Office of Artificial Intelligence Incident Reporting
• Summary: Congress receives biannual reports on implementation. The Office of Artificial Intelligence Incident Reporting monitors and collects information on AI system experiences across federal agencies.

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 primarily focuses on the Verify and Validate, Deploy, and Operate and Monitor stages. It establishes testing and certification centers for AI systems before federal acquisition (validation), governs deployment decisions through scoring systems, and requires ongoing monitoring through incident reporting.

Technical Scope

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

• AI Systems
• Generative AI

Technical Scope Summary

The document explicitly mentions AI systems and generative AI. It focuses on testing and certification of AI systems for federal civilian agency use, with specific mention of generative AI training engines and test beds. No specific compute thresholds, model types (foundation, open-weight), or distinctions between general purpose and task-specific AI are mentioned.