Amends the Energy Independence and Security Act to incorporate machine learning in geothermal research. Establishes a supercritical geothermal research program focusing on supercritical conditions. Requires periodic updates to geothermal data repositories. Authorizes funding for research and development through 2030.
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 geothermal energy research and development, with only a brief mention of machine learning as a tool for geologic analysis. No AI-specific risks, harms, or governance measures are addressed.
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 the Scientific Research and Development Services sector through its establishment of geothermal research programs. It also has minimal coverage of the Trade, Transportation and Utilities sector through references to energy production and transmission capacity.
Hard Law
Legislative Status Summary
This is a binding legislative act from the United States Congress that amends existing federal law with mandatory requirements, establishes programs, authorizes appropriations, and creates enforceable obligations on the Secretary of Energy.
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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 substantially cover AI lifecycle stages. It mentions machine learning algorithms only once as a tool to assist in geologic analysis for geothermal research. The document is primarily focused on geothermal energy research and development, not AI system development or deployment.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
No technical scope terms identified.
Technical Scope Summary
The document makes only a single, brief reference to machine learning algorithms as tools for geologic analysis. It does not define or discuss AI models, AI systems, or any specific categories of AI. The focus is entirely on geothermal energy research, not AI governance or development.
Document data from AGORA, CSET Emerging Technology Observatory.