A Stronger Workforce for America Act, Chapter 3 (Performance Accountability)

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.

  • 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

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

  • Lack of capability or robustness

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.

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 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.

Legislative Status

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.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: United States Congress
  • Summary: The document is titled 'A Stronger Workforce for America Act' and is explicitly identified as legislation from the United States Congress, which is the federal legislative body with authority to enact binding federal statutes.

Target

  • Entity Types: AI_Governance_Actor, AI_Deployer
  • Entities: States; State agencies; Governors; Local boards; Local areas; Eligible providers of training services
  • Summary: The document applies to state governments, state agencies, governors, local workforce boards, and training service providers who operate workforce development programs. These entities are deployers of AI systems (machine learning and advanced analytics) for program evaluation and improvement.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Secretary of Labor; Secretary of Education; Governors
  • Summary: The Secretaries of Labor and Education have explicit authority to provide technical assistance, impose sanctions, and reduce state allocations for performance failures. Governors have enforcement authority over local areas including imposing reductions and corrective actions.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Secretary of Labor; Secretary of Education; States; Designated State agencies
  • Summary: The Secretaries of Labor and Education monitor state performance through annual performance reports and evaluate compliance with performance accountability measures. States and designated state agencies are responsible for ongoing evaluation, data collection, and performance reporting.

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
  • Deploy
  • Operate and Monitor

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.

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 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.

https://www.congress.gov/bill/118th-congress/house-bill/6655
https://agora.eto.tech/instrument/1010
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Document data from AGORA, CSET Emerging Technology Observatory.