Eliminating Bias in Algorithmic Systems Act of 2024

• 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

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 unfair discrimination (1.1), unequal performance across groups (1.3), and governance failure (6.5). Coverage is concentrated in discrimination/bias risks and governance mechanisms to address algorithmic harms.

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
• 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, regulate, or fund programs. The broad definition of 'covered agency' and 'covered algorithm' means it applies to virtually all economic sectors that interact with federal programs, economic opportunities regulated by agencies, or rights protected by agencies. The most directly governed sector is Public Administration, with indirect governance extending to all sectors through federal oversight.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act from the United States Congress with mandatory requirements, enforcement mechanisms, and legal obligations for federal agencies.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Senate and House of Representatives of the United States of America
• Summary: The document is a Congressional bill proposed by the United States Congress, as indicated by the legislative format and enactment clause.

Target

• Entity Types: AI_Governance_Actor, AI_Developer, AI_Deployer
• Entities: Covered agencies (federal agencies that use, fund, procure, or oversee algorithms)
• Summary: The Act applies to 'covered agencies' which are federal agencies that use, fund, procure, develop, or oversee algorithms. This includes both government entities and potentially private sector entities they fund or regulate.

Enforcer

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

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Office of civil rights within each covered agency; Interagency working group on covered algorithms and civil rights; Congressional committees
• Summary: Each covered agency must establish a civil rights office to monitor algorithmic harms, submit biennial reports to Congress, and participate in an interagency working group for coordination and oversight.

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 primary focus on Deploy and Operate and Monitor stages. It addresses the deployment of algorithms by agencies and mandates ongoing monitoring through civil rights offices and biennial reporting on algorithmic harms.

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 'covered algorithms' to include machine learning, natural language processing, and artificial intelligence techniques. It does not distinguish between different AI types (frontier, general purpose, task-specific) or mention compute thresholds or open-weight models.