Requires the Secretary of Education to award grants for expanding AI and technology education from pre-K to high school. Directs the Secretary of Labor and others to report on AI's workforce impact, emphasizing skills development. Authorizes funding for workforce upskilling and education.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
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 socioeconomic impacts (6.2 Increased inequality). The primary focus is on workforce development and education rather than AI risk mitigation. Coverage is concentrated in addressing employment displacement and skills gaps, with brief mentions of privacy and security considerations in educational contexts.
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 legislation governs AI workforce development across Educational Services as the primary sector, with significant coverage of Professional and Technical Services, and Scientific Research and Development Services. The document addresses workforce preparation broadly across multiple industries affected by AI deployment, though it does not regulate AI use within specific sectors beyond education and workforce development.
Hard Law
Legislative Status Summary
This is a proposed federal statute ('A BILL') with binding legal obligations using mandatory language ('shall') throughout, establishing grant programs with specific requirements, reporting obligations, and appropriations authority.
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Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document does not focus on specific AI lifecycle stages of development but rather addresses the broader societal preparation for AI deployment through workforce education and skills development. It implicitly relates to the 'Deploy' and 'Operate and Monitor' stages by preparing workers to work alongside AI systems and monitoring AI's impact on employment.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems and artificial intelligence broadly, with references to computational thinking, algorithm design, and AI applications. It does not specifically distinguish between frontier AI, general purpose AI, or other AI subcategories, nor does it mention compute thresholds or open-weight models. The focus is on AI education and workforce preparation rather than technical AI model specifications.
Document data from AGORA, CSET Emerging Technology Observatory.