Energy Act of 2020, Title III, Section 3002(g) ("Advanced Geothermal Computing and Data Science Research and Development")

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Enacted
• Most recent activity date: 2020-12-27

Risk subdomain coverage

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 a legislative mandate for R&D programs focused on geothermal energy applications using AI/ML tools, without addressing AI-specific risks, harms, safety measures, or governance challenges.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Scientific Research & Development Services

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

• Trade, Transportation & Utilities
• Educational Services
• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs AI use in the Scientific Research and Development Services sector through mandated R&D programs. It also has implications for the Trade, Transportation and Utilities sector (energy/utilities) as the ultimate application domain for the developed technologies.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress that amends existing law and creates mandatory obligations for the Secretary of Energy to carry out specified R&D programs.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is titled 'Energy Act of 2020' and states it was enacted by the United States Congress, which has constitutional authority to propose and enact federal legislation.

Target

• Entity Types: AI_Governance_Actor
• Entities: Secretary of Energy; Department of Energy; Department of Energy National Laboratories; institutes of higher education; private sector
• Summary: The statute directs the Secretary of Energy to carry out R&D programs and coordinate with DOE National Laboratories, universities, and private sector entities. These are the entities whose activities are governed by this legislation.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Department of Energy; Secretary of Energy; United States Congress
• Summary: The Secretary of Energy has primary responsibility for implementing the mandated programs. Congress retains oversight authority through its constitutional powers and appropriations process.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Department of Energy's Office of Science
• Summary: Congress monitors implementation through oversight mechanisms. The Office of Science is explicitly required to coordinate and consult, suggesting a monitoring/oversight role in program execution.

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
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document focuses primarily on the 'Build and Use Model' stage by mandating R&D of AI/ML tools for geothermal applications. It also implicitly covers 'Plan and Design' through research and development activities, and 'Deploy' through demonstration requirements and field validation.

Technical Scope

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

• AI Models
• Predictive AI
• Task-specific AI

Technical Scope Summary

The document explicitly mentions machine learning and artificial intelligence as computing tools for geothermal energy applications. It does not define AI models or systems, nor does it mention frontier AI, general purpose AI, foundation models, generative AI, or compute thresholds. The focus is on task-specific AI applications for geothermal energy.