Requires the Secretary of Energy to establish a demonstration initiative to advance pipeline and related infrastructure technologies, such as autonomous sensor systems; advanced computational, data analytics, and machine learning models; and autonomous robotic and patch technologies. Requires the Secretary of Energy to evaluate projects' technical performance and economic feasibility during the selection process.
Analysis summaries, actor details, and coverage mappings were LLM-classified and may contain errors.
This is a binding federal statute enacted by the United States Congress that establishes mandatory obligations for the Secretary of Energy, with specific appropriations authorized and a competitive merit review process required.
This document has minimal to no coverage of AI-specific risks. While it mentions advanced computational, data analytics, and machine learning models, as well as autonomous systems, these are discussed purely as technological capabilities to be developed for pipeline infrastructure, not as sources of risk requiring governance. The document focuses on technical performance and economic feasibility of pipeline technologies rather than AI safety, security, or societal risks.
This document primarily governs the Trade, Transportation and Utilities sector through its focus on pipeline infrastructure and energy distribution systems. It also has significant coverage of Scientific Research and Development Services through its establishment of a research demonstration initiative. The Information sector receives minimal coverage through references to data analytics and computational technologies.
The document covers multiple AI lifecycle stages with primary focus on Build and Use Model, Deploy, and Operate and Monitor stages. It addresses the development of machine learning models, autonomous sensor systems, and robotic technologies for pipeline infrastructure, along with their deployment and real-time monitoring capabilities.
The document explicitly mentions AI systems (autonomous sensor systems, autonomous robotic technologies) and machine learning models for pipeline infrastructure applications. It focuses on task-specific AI applications for pipeline monitoring, inspection, and repair. No mention of frontier AI, general purpose AI, foundation models, or compute thresholds.
United States Congress
The document is a Congressional Act ('Next Generation Pipelines Research and Development Act') proposed and enacted by the United States Congress, which has legislative authority to create federal programs and authorize appropriations.
Secretary of Energy; Department of Energy
The Secretary of Energy is designated as the primary authority responsible for establishing the initiative, selecting projects through competitive merit review, and ensuring compliance with selection requirements and coordination mandates.
Secretary of Energy; Department of Energy
The Secretary of Energy is responsible for monitoring and evaluating projects for technical performance and economic feasibility, ensuring coordination with existing Department programs, and overseeing the demonstration initiative throughout its five-year term.
eligible entities (not specifically named); Office of Energy Efficiency and Renewable Energy; Office of Fossil Energy and Carbon Management
The Act targets 'eligible entities' that will receive financial assistance to carry out demonstration projects involving advanced technologies including machine learning models, autonomous sensor systems, and autonomous robotic technologies for pipeline infrastructure.
2 subdomains (2 Minimal)