AI Innovation and Development for Efficiency 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.

• Environmental harm

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of risk domains, with only subdomain 6.6 (Environmental harm) receiving a coverage score of 2. The document primarily focuses on promoting AI-enabled efficient technologies to reduce emissions and improve sustainability, rather than addressing AI risks comprehensively.

Sector coverage

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

• Trade, Transportation & Utilities
• Scientific Research & Development Services

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

• Agriculture, Mining, Construction & Manufacturing
• Educational Services
• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs AI research and development in critical infrastructure sectors including utilities (smart grids), transportation, and agriculture. It also has implications for scientific research institutions (EPSCoR institutions) and involves coordination with public administration agencies.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress with mandatory obligations on the National Science Foundation Director, including specific research support requirements, reporting deadlines, and consultation mandates.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is an Act of Congress, as indicated by the title 'AI Innovation and Development for Efficiency Act of 2024' and the legislative structure with sections and subsections typical of federal legislation.

Target

• Entity Types: AI_Governance_Actor, AI_Developer
• Entities: National Science Foundation; EPSCoR institutions; researchers; relevant Federal agencies; private sector critical infrastructure providers
• Summary: The Act primarily targets the NSF Director who must support research, with special consideration for EPSCoR institutions. It also applies to researchers conducting AI-enabled efficient technology projects and involves coordination with other federal agencies and private sector entities.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Committee on Commerce, Science, and Transportation of the Senate; Subcommittee on Commerce, Justice, Science, and Related Agencies of the Committee on Appropriations of the Senate; Committee on Science, Space, and Technology of the House of Representatives; Subcommittee on Commerce, Justice, Science, and Related Agencies of the Committee on Appropriations of the House of Representatives
• Summary: Congressional committees are designated as the oversight bodies through mandatory reporting requirements, which serves as the enforcement mechanism for this legislation.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: National Science Foundation Director; Committee on Commerce, Science, and Transportation of the Senate; Subcommittee on Commerce, Justice, Science, and Related Agencies of the Committee on Appropriations of the Senate; Committee on Science, Space, and Technology of the House of Representatives; Subcommittee on Commerce, Justice, Science, and Related Agencies of the Committee on Appropriations of the House of Representatives
• Summary: The NSF Director is responsible for monitoring research projects through impact assessments, while Congressional committees monitor overall implementation through mandated reports at 18 months and 4 years after enactment.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

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 emphasizes research on developing AI-enabled efficient technologies, their integration into critical infrastructure, and ongoing impact assessment of energy consumption.

Technical Scope

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

• AI Models
• AI Systems
• Predictive AI

Technical Scope Summary

The document explicitly defines and focuses on 'artificial intelligence' systems broadly, with emphasis on AI-enabled efficient technologies. It does not distinguish between frontier AI, general purpose AI, task-specific AI, foundation models, or generative AI. No compute thresholds or open-weight model provisions are mentioned.