Amends the Workforce Innovation and Opportunity Act to allow states to use machine learning and advanced analytics in the improvement of state program operations and outcomes.
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 risk domains, with only subdomain 7.3 (Lack of robustness) receiving a coverage score of 2. The document briefly mentions using machine learning and advanced analytics for program evaluation but does not substantively address the risks, harms, or governance challenges associated with these AI applications. Most risk subdomains are not mentioned at all.
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 Public Administration (excluding National Security) as it regulates state and local government workforce development programs. It has minimal secondary coverage of Educational Services and Professional and Technical Services through requirements for training providers.
Hard Law
Legislative Status Summary
This is a binding federal statute (Act of Congress) that amends the Workforce Innovation and Opportunity Act with mandatory obligations, enforcement mechanisms including financial sanctions, and specific compliance requirements for states and local areas.
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. It permits states to deploy machine learning and advanced analytics for program evaluation and requires ongoing monitoring and evaluation of program operations and outcomes. There is minimal coverage of earlier lifecycle stages.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
No technical scope terms identified.
Technical Scope Summary
The document mentions machine learning and advanced analytics as tools states may use for program evaluation. It does not define these terms or specify particular types of AI systems, models, or technical thresholds. The focus is on workforce program performance accountability rather than AI governance per se.
Document data from AGORA, CSET Emerging Technology Observatory.