WIOA Performance Accountability Improvement Act, Section 2, Subsection (c) ("Evaluation of State programs.")

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.

  • 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

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.

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.

  • Professional & Technical Services
  • Educational Services

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.

Legislative Status

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.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: United States Congress
  • Summary: The document is explicitly identified as being authored by the United States Congress, which has the constitutional authority to amend federal statutes.

Target

  • Entity Types: AI_Governance_Actor
  • Entities: State governments implementing Workforce Innovation and Opportunity Act programs
  • Summary: The amendment explicitly targets 'State' programs under WIOA, requiring states to use data for analyses and permitting them to use machine learning and advanced analytics.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Summary: No specific enforcement body is named in this subsection. Enforcement would typically fall to the federal agency overseeing WIOA implementation (likely the Department of Labor), but this is not explicitly stated in the provided text.

Monitor

  • Entity Types: AI_Governance_Actor
  • Summary: The amendment requires states to 'conduct ongoing' evaluations and analyses, suggesting states themselves have monitoring responsibilities. However, no specific external monitoring body is identified in this subsection.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

  • Collect and Process Data
  • Build and Use Model
  • Deploy
  • Operate and Monitor

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.

Technical Scope

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.

https://www.congress.gov/bill/118th-congress/senate-bill/4501/text
https://agora.eto.tech/instrument/1372
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Document data from AGORA, CSET Emerging Technology Observatory.