Provides scholarships and fellowships for AI-related studies to recruit and train the next generation of AI professionals in US government. Grants competitive grants and fellowships for organizations advancing risk assessment through AI. Adds AI and machine learning to the list of research areas that the Director of the National Science Foundation can award grants to. Makes awards available for supporting basic research to advance critical minerals mining strategies that involve AI. Requires the development and testing of models to inform implementation of government-wide data infrastructure for statistical activities. Requires a study on U.S. higher education's AI research capacity and an annual update to key technology focus areas.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
This document has minimal coverage of AI risk domains, with brief mentions in only 2-3 subdomains. The document primarily focuses on funding authorization, STEM education, research infrastructure, and workforce development rather than addressing specific AI risks. Coverage is limited to workforce development aspects (6.2) and brief mentions of research security concerns that could relate to AI system security (2.2).
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 Educational Services and Scientific Research and Development Services sectors through NSF funding and programs. It also has significant coverage of Professional and Technical Services through research support, and touches on Information sector through AI and computing research. The document does not directly regulate specific industries but rather provides funding and support for research and education across these sectors.
Hard Law
Legislative Status Summary
This is a binding legislative act from the United States Congress that authorizes appropriations and establishes mandatory requirements for the National Science Foundation using predominantly mandatory language ('shall') with legal enforcement mechanisms.
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Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document addresses multiple AI lifecycle stages with primary focus on Plan and Design (through research planning and curriculum development), Build and Use Model (through AI research grants and development activities), and Operate and Monitor (through workforce development and ongoing research programs). The document extensively covers AI systems, AI models, and mentions compute thresholds in the context of AI scholarship programs.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI models, AI systems, and artificial intelligence extensively throughout. It references AI and machine learning as research areas, discusses AI workforce development, establishes an AI Scholarship-for-Service program, and mentions computational resources including advanced computing capabilities. The document does not explicitly define or distinguish between frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, or open-weight models, though it broadly addresses AI research and development.
Document data from AGORA, CSET Emerging Technology Observatory.