Mobilizes National Laboratories to partner with industry for structuring Department of Energy's data for AI and machine learning models. Provides models via American science cloud to aid microelectronics and new energy technologies development.
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
This document has minimal risk domain coverage, with only implicit mention of competitive dynamics (6.4) through its focus on U.S. technological advancement. The document is primarily focused on enabling AI development infrastructure rather than addressing AI risks or harms.
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 Scientific Research and Development Services through Department of Energy National Laboratories, with secondary coverage of Information sector (cloud computing infrastructure) and Manufacturing (microelectronics development). The governance focuses on enabling AI-powered scientific research rather than regulating AI use across multiple sectors.
Hard Law
Legislative Status Summary
This is a binding legislative act from the United States Congress with mandatory language and appropriated funding, creating legal obligations for the Department of Energy.
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Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
No lifecycle stages identified.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
No technical scope terms identified.
Document data from AGORA, CSET Emerging Technology Observatory.