HR 5511 Algorithmic Accountability Act 2025 (Impact assessments of certain algorithms)

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2025-09-19

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
• Unequal performance across groups
• Compromise of privacy
• 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.

• AI system security vulnerabilities
• 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 6 subdomains, with primary focus on discrimination and fairness (1.1, 1.3), privacy and security (2.1, 2.2), and AI system safety (7.3, 7.4). The legislation emphasizes testing for differential performance across demographic groups, privacy protection, transparency, and system robustness through comprehensive impact assessment requirements.

Sector coverage

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

• Finance & Insurance
• Educational Services
• Health Care & Social Assistance

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

• Trade, Transportation & Utilities
• Real Estate, Rental & Leasing
• Professional & Technical Services
• Management, Administrative & Support Services

All other sectors had no coverage in this document.

Sectors Summary

The document governs AI algorithms used for 'critical decisions' across approximately 9 economic sectors. The most comprehensively regulated sectors are Healthcare, Educational Services, Finance and Insurance, and Professional Services (legal services). The regulation explicitly covers employment, housing, utilities/transportation, and family planning services. The cross-sectoral approach focuses on consequential algorithmic decision-making that affects fundamental aspects of consumers' lives.

Legislative Status

Hard Law

Legislative Status Summary

This is a federal legislative bill with binding obligations, mandatory compliance requirements, explicit enforcement mechanisms through the Federal Trade Commission, and penalties for violations. The bill uses mandatory language throughout and establishes clear legal consequences for non-compliance.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Senate and House of Representatives
• Summary: The document is a Congressional bill proposed by the United States legislative body, as indicated by the opening text 'Be it enacted by the Senate and House of Representatives of the United States of America in Congress assembled'.

Target

• Entity Types: AI_Developer, AI_Deployer
• Entities: Covered entities as defined in Section 2(6) - persons, partnerships, or corporations that develop or deploy covered algorithms meeting specified revenue, equity value, or data thresholds
• Summary: The Act explicitly targets 'covered entities' which are defined as organizations that deploy or develop covered algorithms and meet certain financial or data processing thresholds. These entities include both AI developers and deployers based on the definitions in Section 2(6) and throughout the Act.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Federal Trade Commission (FTC); State Attorneys General
• Summary: Section 9 establishes the Federal Trade Commission as the primary enforcement agency with explicit powers to enforce the Act as unfair or deceptive trade practices. Section 9(b) grants State Attorneys General enforcement authority through parens patriae civil actions.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Federal Trade Commission (FTC); National Institute of Standards and Technology (NIST); Office of Science and Technology Policy (OSTP); National Artificial Intelligence Initiative
• Summary: The FTC is designated to receive annual summary reports, maintain a publicly accessible repository, and publish annual reports (Section 6). NIST, OSTP, and other agencies are granted access to summary reports for review purposes to develop future standards or regulations (Section 7(b)(3)).

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 stages of the AI lifecycle from planning through ongoing monitoring. It requires evaluation of baseline processes before deployment (Plan and Design), extensive data documentation (Collect and Process Data), model development and testing (Build and Use Model), validation under test conditions (Verify and Validate), pre-deployment reporting (Deploy), and ongoing post-deployment monitoring and assessment (Operate and Monitor).

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 does not use standard AI terminology like 'AI models' or 'AI systems' but instead defines and focuses on 'covered algorithms' - computational processes derived from machine learning, natural language processing, or AI techniques. There is no mention of frontier AI, general purpose AI, foundation models, generative AI, or compute thresholds. The focus is on algorithms affecting 'critical decisions' regardless of the specific type of AI technology used.