Artificial Intelligence Environmental Impacts 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

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

• Environmental harm

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

• Governance failure

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of risk domains, with primary focus on environmental harm (6.6) at a good coverage level. There is minimal coverage of governance failure (6.5) through references to transparency and oversight mechanisms. The document does not substantially address AI safety, discrimination, privacy, misinformation, malicious actors, or human-computer interaction risks.

Sector coverage

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

• Information
• Scientific Research & Development Services
• Public Administration (excl. National Security)

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

• Agriculture, Mining, Construction & Manufacturing
• Trade, Transportation & Utilities
• Educational Services

All other sectors had no coverage in this document.

Sectors Summary

This is an external regulation that applies broadly to any entity developing or operating AI systems across all economic sectors. The governance is primarily through voluntary reporting mechanisms and federal agency oversight, rather than sector-specific regulation. The document does not limit its scope to particular industries.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act passed by the United States Congress with mandatory requirements for federal agencies to conduct studies, convene consortiums, and submit reports to Congress.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is an Act of Congress, as indicated by the title and structure. Congress is the legislative body that proposed and enacted this legislation.

Target

• Entity Types: AI_Developer, AI_Infrastructure_Provider
• Summary: The Act targets entities that develop or operate AI systems through a voluntary reporting system. The definition explicitly covers companies and organizations involved in AI development and operations.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: Multiple federal agencies are designated to implement and enforce the Act's requirements, with Congress maintaining oversight through mandatory reporting requirements.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The Act establishes monitoring through mandatory studies, a consortium to develop measurement methodologies, a voluntary reporting system, and Congressional oversight through required reports.

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
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document explicitly covers the entire AI lifecycle from design through deployment and operation. It repeatedly references the 'full lifecycle' of AI models and hardware, including design, development, deployment, and use phases, with particular emphasis on environmental impacts at each stage.

Technical Scope

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

• AI Models
• AI Systems
• Open Weight / Open Source

Technical Scope Summary

The document explicitly mentions AI models, AI systems, and AI hardware throughout. It does not specifically reference frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on environmental impacts across all types of AI without distinguishing between specific AI categories.