S 3308 Artificial Intelligence Civil Rights Act of 2025 (Establish protections for individual rights with respect to computational 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: 2025-12-02

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
• Loss of human agency and autonomy
• Increased inequality and decline in employment
• 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.

• Compromise of privacy
• False or misleading information
• Overreliance and unsafe use

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 7 risk subdomains, with strong focus on discrimination and toxicity (1.1, 1.3), human-computer interaction (5.2), socioeconomic impacts (6.2), and AI system safety (7.3, 7.4). The bill primarily addresses fairness, transparency, and accountability risks in algorithmic decision-making affecting civil rights.

Sector coverage

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

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

• Agriculture, Mining, Construction & Manufacturing
• Professional & Technical Services
• Scientific Research & Development Services
• Management, Administrative & Support Services
• Arts, Entertainment & Recreation

All other sectors had no coverage in this document.

Sectors Summary

This is a comprehensive cross-sectoral regulation governing AI use across virtually all major economic sectors. The document explicitly regulates AI in employment, education, healthcare, finance, housing, public administration including national security, criminal justice, and public accommodations. Coverage is particularly strong (score 3) for sectors involving consequential actions as defined in Section 2(4).

Legislative Status

Hard Law

Legislative Status Summary

This is a binding Congressional bill with mandatory obligations, explicit enforcement mechanisms through the FTC and State attorneys general, specified penalties ($15,000 per violation or 4% of revenue), and private rights of action with treble damages.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is a Congressional bill titled 'A BILL' to be enacted by the Senate and House of Representatives of the United States of America in Congress assembled.

Target

• Entity Types: AI_Developer, AI_Deployer
• Summary: The bill explicitly defines and regulates 'developers' (those who design, code, customize, produce AI algorithms) and 'deployers' (those who use covered algorithms for commercial acts). The scope includes any entity using AI for consequential actions affecting employment, education, housing, healthcare, finance, criminal justice, elections, and other critical areas.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The bill assigns primary enforcement authority to the FTC to enforce violations as unfair or deceptive practices. State attorneys general have parens patriae authority to bring civil actions. Additionally, individuals have private rights of action.

Monitor

• Entity Types: AI_Governance_Actor, AI_Developer, AI_Deployer
• Summary: The FTC receives and publishes evaluation reports in a public repository and produces annual reports. Independent auditors conduct pre-deployment evaluations and impact assessments. Developers must conduct annual reviews of deployer assessments, and deployers must conduct annual impact assessments.

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 major AI lifecycle stages from planning through operational monitoring. It emphasizes pre-deployment evaluations (Plan/Design, Verify/Validate), data requirements (Collect/Process Data), algorithm development standards (Build/Use Model), deployment requirements (Deploy), and extensive post-deployment monitoring (Operate/Monitor).

Technical Scope

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

• AI Systems

Technical Scope Summary

The document uses the term 'covered algorithm' defined as computational processes derived from machine learning, natural language processing, artificial intelligence techniques, or similar complexity. It does not explicitly distinguish between AI models vs. systems, nor does it reference frontier AI, general purpose AI, foundation models, generative AI, predictive AI, open-weight models, or specific compute thresholds.