Initiates several projects using artificial intelligence and emerging technologies, all directives emphasizing support for artificial intelligence and data science development, establishing technical standards, and creating testbeds for robust systems. Efforts on scholarships, fellowships, and ongoing research to nurture the next generation of artificial intelligence professionals and enhance biometric identification technologies.
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
The document has minimal coverage of AI risk domains, with limited explicit discussion of risks. The primary focus is on establishing research programs, facilities, and funding for scientific research including AI development. There are brief mentions of algorithmic bias mitigation (subsection 10104(f)) and research security concerns related to foreign entities, but most content describes research infrastructure and funding rather than addressing specific AI risks.
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 Department of Energy research programs. It also has significant implications for Educational Services through scholarships, fellowships, and university partnerships. There are secondary touches on Health Care (medical isotopes, biosciences), Information (data processing, AI development), and Professional and Technical Services (research consulting and partnerships).
Hard Law
Legislative Status Summary
This is a binding legislative Act from the United States Congress with mandatory language throughout, establishing legal obligations for the Department of Energy, authorizing specific appropriations, and creating enforceable requirements for research programs and facilities.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
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 AI research infrastructure, development of AI tools and capabilities, and ongoing research programs. The document explicitly mentions AI models, AI systems, and various technical capabilities but does not specifically define frontier AI, general purpose AI, or other specialized AI categories.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI models and AI systems in the context of research and development. It references artificial intelligence, machine learning, data science, and computational capabilities extensively. However, it does not specifically define or mention frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, open-weight models, or specific compute thresholds. The focus is on AI as a research tool and area of development rather than on specific AI model categories or regulatory thresholds.
Document data from AGORA, CSET Emerging Technology Observatory.