To amend and reauthorize the Workforce Innovation and Opportunity Act and the Older Americans Act of 1965.

• 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

This document has minimal risk domain coverage, with only brief implicit references to AI system safety and governance considerations. The primary focus is on enabling machine learning use for program evaluation rather than addressing AI risks comprehensively.

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 government workforce program evaluation. It also has secondary coverage of Professional and Technical Services and Educational Services through workforce development program contexts.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative amendment to the Workforce Innovation and Opportunity Act, using mandatory language ('shall') and creating legal obligations for state governments in their program evaluation activities.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is explicitly identified as Congressional legislation amending existing federal law.

Target

• Entity Types: AI_Governance_Actor, AI_Deployer
• Entities: State governments; State workforce program administrators
• Summary: The amendment directly regulates state-level evaluation of workforce programs, requiring states to use data for analyses and permitting machine learning use.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Federal Department of Labor (implied through existing WIOA enforcement structure)
• Summary: While not explicitly named in this excerpt, enforcement would fall under existing federal oversight mechanisms for the Workforce Innovation and Opportunity Act.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: State governments (self-monitoring); Federal oversight bodies (implied)
• Summary: States are required to conduct ongoing evaluations of their programs, with implicit federal monitoring through existing WIOA accountability structures.

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, as it addresses the use of machine learning systems for ongoing program 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

• Predictive AI
• Task-specific AI

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 AI categories. The focus is on analytical tools for program evaluation rather than detailed AI technical specifications.