Amends the Workforce Innovation and Opportunity Act to permit states to use machine learning and advanced analytics for improving program operations, outcomes, and evaluation, enhancing data-driven decision-making in state programs.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
This document has minimal risk domain coverage, with only implicit mention of AI system safety concerns related to lack of transparency (subdomain 7.4). The document primarily focuses on enabling the use of machine learning and advanced analytics for program evaluation, without substantively addressing specific AI risks or harms.
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 amends federal workforce development programs administered by state governments. It may also have secondary implications for Educational Services and Professional and Technical Services sectors that interact with workforce development programs.
Hard Law
Legislative Status Summary
This is an amendment to the Workforce Innovation and Opportunity Act (29 U.S.C. 3141(e)), a binding federal statute. The language uses mandatory terms ('shall') and permissive terms ('may') to establish legal obligations and permissions for state programs.
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 focuses primarily on the Deploy and Operate and Monitor stages of the AI lifecycle, as it addresses the use of machine learning and advanced analytics in operational state programs for ongoing evaluation and improvement. 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 explicitly mentions 'machine learning' and 'advanced analytics' but does not define or distinguish between AI models, AI systems, or specific types of AI. There is no mention of frontier AI, general purpose AI, foundation models, compute thresholds, or open-source models.
Document data from AGORA, CSET Emerging Technology Observatory.