An act to include certain computer-related projects in the Federal permitting program under title XLI of the FAST Act, and for other purposes

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Enacted
• Most recent activity date: 2022-08-16

Risk subdomain coverage

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has no meaningful coverage of AI risk domains. It is a brief legislative amendment that simply adds AI and related technologies to an existing federal permitting program. It does not address any specific AI risks, harms, safety measures, or governance mechanisms related to AI systems.

Sector coverage

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

• Information
• 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
• Professional & Technical Services

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs infrastructure projects in the Information sector (data processing, computing infrastructure) and Scientific Research and Development Services sector (AI/ML research facilities). It also has implications for Manufacturing (semiconductors, computer hardware) and Professional and Technical Services (IT infrastructure).

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the U.S. Congress that amends existing law (the FAST Act). It creates legally enforceable obligations regarding federal permitting processes for AI-related infrastructure projects.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Senate and House of Representatives of the United States of America
• Summary: The document explicitly states it was enacted by the Senate and House of Representatives, which are the legislative bodies of the U.S. Congress that proposed and passed this amendment.

Target

• Entity Types: AI_Infrastructure_Provider, AI_Developer
• Summary: The amendment targets entities involved in 'semiconductors, artificial intelligence and machine learning, high-performance computing and advanced computer hardware and software, quantum information science and technology, data storage and data management, cybersecurity' projects that would fall under the Federal permitting program. These would be infrastructure providers and developers of AI-related technologies.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: While not explicitly named in this brief amendment, the enforcers would be the federal agencies responsible for administering the FAST Act permitting program under title XLI. The amendment modifies the scope of projects covered by that existing program.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: Similar to enforcement, monitoring would be conducted by the federal agencies administering the FAST Act permitting program, though no specific monitoring bodies are named in this amendment.

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 address specific AI lifecycle stages. It is a legislative amendment that adds AI-related infrastructure projects to a federal permitting program, focusing on the physical infrastructure needed to support AI development rather than the AI development process itself.

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 as categories of technology-related infrastructure projects but does not define or distinguish between AI models, AI systems, or any specific types of AI. It focuses on physical infrastructure projects rather than AI technical specifications.