Eliminating Bias in Algorithmic Systems Act of 2023

• 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

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

• Unequal performance across groups
• Lack of capability or robustness
• Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 3-4 subdomains, with strong focus on discrimination and bias (1.1, 1.3), governance structures (6.5), and system limitations (7.3, 7.4). Coverage is concentrated in fairness, transparency, and governance oversight 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.

• Agriculture, Mining, Construction & Manufacturing
• Trade, Transportation & Utilities
• Information
• Finance & Insurance
• Real Estate, Rental & Leasing
• Professional & Technical Services
• Scientific Research & Development Services
• Management, Administrative & Support Services
• Educational Services
• Health Care & Social Assistance
• Arts, Entertainment & Recreation
• Accommodation, Food & Other Services
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This Act governs AI use across all sectors where federal agencies operate, fund, regulate, or oversee algorithmic systems. The broad definition of 'covered agency' and 'covered algorithm' means it applies to virtually all economic sectors that interact with federal programs, economic opportunities, or protected rights.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute with mandatory obligations on covered agencies, including requirements to establish civil rights offices, submit biennial reports to Congress, and participate in an interagency working group.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is titled 'Act of 2023' and follows standard U.S. legislative format, indicating it was proposed by Congress.

Target

• Entity Types: AI_Governance_Actor, AI_Developer, AI_Deployer
• Entities: Federal agencies that use, fund, procure, or oversee covered algorithms
• Summary: The Act applies to 'covered agencies' defined as agencies that use, fund, procure, develop, or oversee covered algorithms, which includes both government agencies and entities they regulate or fund.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Congressional committees with jurisdiction over covered agencies; Department of Justice Civil Rights Division
• Summary: Congressional committees receive biennial reports and have oversight authority. The Assistant Attorney General of the Civil Rights Division establishes and leads the interagency working group.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Civil rights offices within covered agencies; Interagency working group on covered algorithms and civil rights; Congressional committees
• Summary: Each covered agency must establish a civil rights office to monitor algorithmic bias and submit biennial reports. An interagency working group coordinates monitoring efforts across 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
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document covers multiple lifecycle stages with emphasis on deployment and operational monitoring. It addresses planning through civil rights office establishment, deployment through oversight of algorithm use, and ongoing monitoring through biennial reporting requirements.

Technical Scope

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

• AI Models
• AI Systems

Technical Scope Summary

The document explicitly defines and covers 'covered algorithms' which include machine learning, natural language processing, and artificial intelligence techniques. It does not specifically mention frontier AI, general purpose AI, foundation models, or compute thresholds, focusing instead on algorithms with potential material effects on government programs and protected rights.