GRIData Act of 2024

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Defunct
• Most recent activity date: 2025-01-03

Risk subdomain coverage

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

• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of AI risk domains, with only subdomain 7.3 (Lack of robustness) receiving a score above 1. The document briefly mentions AI/ML technologies in the context of improving grid reliability and resilience, but does not substantively address AI-specific risks, harms, or safety concerns. The focus is on data collection and sharing for electric grid operations rather than AI governance.

Sector coverage

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

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

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

• Scientific Research & Development Services
• Educational Services

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Trade, Transportation and Utilities sector, specifically electric utilities and grid operations. It also has coverage of Public Administration (Department of Energy and federal agencies) and Scientific Research and Development Services (National Laboratories). The focus is on improving electric grid reliability and resilience through data collection and sharing.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress with mandatory obligations on the Secretary of Energy, enforceable through congressional oversight and appropriations authority.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is a bill introduced in the United States Senate by Senator Heinrich and co-sponsors, referred to the Committee on Energy and Natural Resources.

Target

• Entity Types: AI_Governance_Actor, AI_Infrastructure_Provider
• Summary: The Act primarily targets the Secretary of Energy with mandatory obligations to identify, analyze, and share data. It also involves utilities, electric cooperatives, and grid operators as entities that will be affected by and participate in the data sharing activities.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: Congress enforces compliance through oversight, reporting requirements, and appropriations control. The Secretary of Energy is responsible for implementing the Act's requirements.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: Congress monitors implementation through required reports. A steering committee is established to help inform and guide the development and goals of the activities, effectively providing ongoing monitoring and guidance.

AI Lifecycle Stages

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

The document does not substantively govern AI lifecycle stages. It mentions AI and machine learning only as potential future technologies that could use the data being collected for grid reliability purposes. The document focuses on data collection, analysis, and sharing for electric grid operations rather than AI development or deployment.

Technical Scope

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

No technical scope terms identified.

Technical Scope Summary

The document mentions AI and machine learning only once, in the context of potential future technologies that could use the data being collected. It does not define or substantively discuss AI models, AI systems, or any specific categories of AI. The focus is on electric grid data infrastructure rather than AI governance.