Amends the Workforce Innovation and Opportunity Act to evaluate AI use in workforce programs for labor market data and service delivery. Requires studies on AI and technology in workforce systems, addressing AI bias, and impacts of automation on employment.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has minimal coverage of AI risks, primarily addressing AI system security and bias (2.2), unfair discrimination (1.1), and lack of robustness (7.3) through requirements to study AI effectiveness, accuracy, and exhibited bias in workforce systems. Coverage is limited to brief mentions requiring future studies rather than establishing comprehensive governance measures.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
This document primarily governs the Public Administration sector (excluding National Security) through requirements for federal and state workforce development agencies to study and evaluate AI use in workforce programs. It also has minimal coverage of the Educational Services sector through references to alignment between education and workforce systems.
Hard Law
Legislative Status Summary
This is a binding legislative amendment to the Workforce Innovation and Opportunity Act passed by the United States Congress, containing mandatory obligations with enforcement mechanisms through federal oversight and reporting requirements.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document primarily addresses the Deploy and Operate and Monitor stages of the AI lifecycle through requirements to study AI implementation in workforce systems, measure effectiveness, analyze accuracy and bias, and evaluate impacts on employment. It implicitly covers Verify and Validate through requirements to analyze accuracy and identify bias in deployed AI systems.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
No technical scope terms identified.
Technical Scope Summary
The document explicitly mentions artificial intelligence and machine learning as emerging technologies used in workforce development systems. It does not specifically define or distinguish between AI models, AI systems, or specialized categories like frontier AI, general purpose AI, or foundation models. The focus is on practical applications of AI in workforce programs rather than technical AI classifications.
Document data from AGORA, CSET Emerging Technology Observatory.