Establishes a grant program for statewide longitudinal data systems to integrate data across education and workforce development systems. Prioritizes cross-state collaborations and addresses AI's role in workforce demands. Emphasizes data privacy, standardization, and public-private partnerships.
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 limited focus on privacy (2.1), data security (2.2), and brief mentions of AI's role in workforce demands. Coverage is concentrated in privacy/security domains with minimal attention to AI-specific risks. Most AI risk subdomains are not addressed.
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) through its establishment of a grant program for State agencies to improve workforce data systems. It also has coverage of Professional and Technical Services and Educational Services through its focus on integrating education and workforce development data systems and improving labor market information.
Hard Law
Legislative Status Summary
This is a binding legislative instrument (Congressional bill) that would establish mandatory grant program requirements with specific obligations for eligible entities, using mandatory language throughout and creating enforceable legal requirements under the Workforce Innovation and Opportunity Act.
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Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
No lifecycle stages identified.
AI Lifecycle Summary
The document does not directly govern AI system development lifecycle stages. Instead, it establishes a grant program for workforce data systems that will collect and analyze data about AI's impact on workforce demands. The focus is on data infrastructure for understanding workforce trends, including those related to AI and emerging technologies, rather than governing AI system development itself.
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 AI and machine learning only in the context of understanding their impact on workforce demands and workplace changes. It does not define or regulate AI models, AI systems, or any specific AI technical categories. The focus is on workforce data infrastructure to track labor market trends related to emerging technologies including AI.
Document data from AGORA, CSET Emerging Technology Observatory.