DOE and NSF Interagency Research Act

Facilitates collaborative AI research between the Department of Energy and National Science Foundation, focusing on machine learning, data analytics, and computational advancements. Requires interagency agreements and promotes data sharing, infrastructure support, and STEM education initiatives.

  • 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

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

  • Competitive dynamics

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal risk domain coverage, with only subdomain 6.4 (Competitive dynamics) receiving a coverage score of 2. The document primarily focuses on collaborative research coordination between federal agencies rather than addressing AI risks and harms. While it mentions AI and machine learning as research areas, it does not address the specific risks associated with these technologies.

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
  • Public Administration (excl. National Security)

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

  • Agriculture, Mining, Construction & Manufacturing
  • Information

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs Scientific Research and Development Services and Public Administration (excluding National Security) sectors. It establishes collaborative research frameworks between federal agencies (DOE and NSF) and research institutions, with minimal direct governance of other economic 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 Secretary of Energy and Director of the National Science Foundation, using mandatory language throughout and establishing legally enforceable requirements.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: United States Congress; House of Representatives
  • Summary: The document is a federal bill (H.R. 2980) that was passed by the House of Representatives and received by the Senate, indicating Congress as the proposing body.

Target

  • Entity Types: AI_Governance_Actor
  • Entities: Department of Energy; National Science Foundation; Federal agencies; National Laboratories; institutions of higher education; non-profit institutions
  • Summary: The Act applies to and regulates the activities of the Department of Energy and National Science Foundation, requiring them to carry out collaborative research activities. It also applies to other entities that may participate in the competitive process for research activities.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Committee on Science, Space, and Technology of the House of Representatives; Committee on Energy and Natural Resources; Committee on Commerce, Science, and Transportation of the Senate
  • Summary: Congressional committees are designated to receive reports and provide oversight of the implementation of this Act, serving as the enforcement mechanism through congressional oversight.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Committee on Science, Space, and Technology of the House of Representatives; Committee on Energy and Natural Resources; Committee on Commerce, Science, and Transportation of the Senate
  • Summary: The same congressional committees that enforce also monitor implementation through mandatory reporting requirements that detail interagency coordination, research achievements, and future opportunities.

AI Lifecycle Stages

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

  • Plan and Design
  • Collect and Process Data
  • Build and Use Model
  • Verify and Validate
  • Operate and Monitor

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with primary focus on Plan and Design, Build and Use Model, and Operate and Monitor stages. It addresses collaborative research in AI/ML development, infrastructure support, and ongoing coordination activities.

Technical Scope

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

  • AI Models
  • Open Weight / Open Source
  • Predictive AI

Technical Scope Summary

The document explicitly mentions AI, machine learning, and various computational technologies as research focus areas. It does not define specific AI model types, compute thresholds, or distinguish between frontier, general purpose, or task-specific AI. The focus is on collaborative research and development rather than regulation of specific AI system types.

https://www.congress.gov/bill/118th-congress/house-bill/2980
https://agora.eto.tech/instrument/438
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Document data from AGORA, CSET Emerging Technology Observatory.