Transparent Automated Governance 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
• 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
• Compromise of privacy
• Loss of human agency and autonomy

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 5-6 subdomains, with strong focus on unfair discrimination (1.1), unequal performance (1.3), lack of transparency (7.4), governance failure (6.5), and lack of robustness (7.3). Coverage is concentrated in discrimination/fairness, system reliability, and governance 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.

• Trade, Transportation & Utilities
• Information
• Finance & Insurance
• Real Estate, Rental & Leasing
• Educational Services
• Health Care & Social Assistance
• Accommodation, Food & Other Services

All other sectors had no coverage in this document.

Sectors Summary

This Act governs AI use across all sectors where federal agencies make critical decisions affecting individuals. The most explicitly covered sectors include Educational Services, Health Care and Social Assistance, Finance and Insurance, Public Administration, and Trade, Transportation and Utilities. The Act applies to federal agency use of automated systems across virtually all economic sectors through its broad definition of critical decisions.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress with mandatory obligations on federal agencies, enforcement mechanisms through the Comptroller General, and specific compliance timelines.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is titled as an 'Act' and references standard Congressional legislative language and structure, indicating it was proposed and enacted by the United States Congress.

Target

• Entity Types: AI_Governance_Actor, AI_Deployer
• Summary: The Act explicitly applies to 'agencies' which are defined as federal government agencies, and places obligations on the Director of OMB to issue guidance and on agency heads to implement that guidance.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Director of OMB is responsible for issuing binding guidance that agencies must implement, and the Comptroller General (head of the Government Accountability Office) is mandated to review compliance and report to Congress.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The Comptroller General is explicitly tasked with biannual compliance reviews and reporting findings to Congressional oversight committees, establishing a formal monitoring and oversight structure.

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 addresses the Deploy and Operate and Monitor stages of the AI lifecycle, with some coverage of Plan and Design. It focuses on requirements for agencies using automated systems in critical decision-making, including notice requirements at deployment and ongoing monitoring of system performance and compliance.

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 'automated systems' and 'artificial intelligence' but does not distinguish between frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, or open-weight models. It does not reference compute thresholds. The focus is on automated systems used in critical government decision-making regardless of AI type.