NSF AI Education Act of 2025

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2025-09-15

Risk subdomain coverage

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal to no coverage of AI risk domains. It is primarily focused on AI education, workforce development, and research capacity building rather than addressing specific AI risks and harms. The document does not substantively address any of the 24 risk subdomains in the MIT taxonomy.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Scientific Research & Development Services
• Educational Services

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

• Agriculture, Mining, Construction & Manufacturing
• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This legislation primarily governs Educational Services and Scientific Research and Development Services by establishing AI education programs, scholarships, and research initiatives. While it mentions AI applications in agriculture and manufacturing as focus areas for education, the document governs the education sector's activities rather than AI use in those industries.

Legislative Status

Hard Law

Legislative Status Summary

This is a Congressional bill that, once enacted, would create legally binding obligations for the National Science Foundation. It uses mandatory language throughout ('shall') and establishes formal programs with reporting requirements and oversight mechanisms.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is a Congressional bill proposed by the United States Congress. The opening text explicitly identifies it as legislation to be enacted by the Senate and House of Representatives.

Target

• Entity Types: AI_Governance_Actor, AI_User
• Summary: The legislation primarily targets the National Science Foundation as the implementing agency, with secondary targets being educational institutions and their students/faculty who will receive scholarships, fellowships, and participate in AI education programs.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The National Science Foundation is designated as the primary implementing and enforcing agency with authority to administer programs, make awards, and evaluate activities. Congress maintains oversight through mandatory reporting requirements.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The NSF is required to conduct evaluations of all programs and submit reports to Congress. Congress monitors through these mandatory reports. The legislation establishes specific evaluation requirements and accountability mechanisms.

AI Lifecycle Stages

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

This document does not govern the AI system development lifecycle. Instead, it focuses on AI education, workforce development, and research capacity building. While it mentions design, research, development, deployment, and application of AI in the context of educational programs, these references are to the subjects students will study, not governance requirements for AI system development.

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 AI in general terms, referring to 'artificial intelligence' throughout in the context of education and workforce development. It does not define or distinguish between different types of AI (frontier, general purpose, task-specific, etc.), nor does it mention models vs systems, compute thresholds, or open-source considerations. The focus is entirely on education about AI rather than technical AI governance.