NSF AI Education Act of 2024

• 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

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal coverage of AI risk domains, with no substantial coverage (score > 1) of any specific risk subdomain. The document is primarily focused on education, training, and workforce development for AI rather than addressing AI risks and harms. While it mentions research security and ethical considerations in passing, it does not substantively address the risks described in the MIT taxonomy.

Sector coverage

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

• Agriculture, Mining, Construction & Manufacturing
• Educational Services

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

• Scientific Research & Development Services
• Public Administration (excl. National Security)
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This Act primarily governs AI education and training across the Educational Services sector, with specific provisions for Agriculture, Mining, Construction and Manufacturing (particularly agriculture and advanced manufacturing), and establishes workforce frameworks that span multiple sectors. The governance is focused on workforce development rather than direct regulation of AI use in these sectors.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress with mandatory obligations on the Director of the National Science Foundation and other federal agencies, using mandatory language throughout and establishing legally enforceable requirements.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: This is a Congressional Act proposed and enacted by the United States Congress, as indicated by the legislative format and structure.

Target

• Entity Types: AI_Governance_Actor, Affected_Stakeholder
• Summary: The Act primarily targets federal agencies (especially NSF) that must implement programs, and educational institutions and students who are beneficiaries of scholarships and grants. The NSF Director is the primary implementing authority.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The NSF Director has primary enforcement authority through program administration, reporting requirements, and award decisions. Congress exercises oversight through required reports. OMB has authority over ethics requirements for fellows.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The NSF Director monitors program implementation through performance metrics and assessments. Congress monitors through required annual reports and specific reporting requirements on various aspects of the programs.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Build and Use Model
• Deploy

AI Lifecycle Summary

The document does not focus on specific AI lifecycle stages of development, but rather on education and training programs to prepare individuals to work across various AI lifecycle stages. It mentions research on AI in education and agriculture, which could relate to Build and Use Model stages, but the primary focus is on workforce development rather than governing specific lifecycle stages of AI systems.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• AI Models
• AI Systems

Technical Scope Summary

The document explicitly mentions AI models, AI systems, and various AI applications. It references quantum hybrid computing and quantum information science extensively. It does not define or distinguish between frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, or predictive AI. There are no compute thresholds mentioned. The document does not specifically address open-weight or open-source models.