Infrastructure Investment and Jobs Act, Section 40210 ("Critical Minerals Mining and Recycling Research")

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Enacted
• Most recent activity date: 2021-11-15

Risk subdomain coverage

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal coverage of AI risk domains. It briefly mentions AI and machine learning applications in critical minerals mining (subdomain 7.3), but does not address the risks associated with these technologies. The document is primarily focused on critical minerals supply chain research and development, not AI governance or risk mitigation.

Sector coverage

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

• Agriculture, Mining, Construction & Manufacturing
• Scientific Research & Development Services

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

• Information
• Educational Services
• Public Administration (excl. National Security)
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs AI research and development activities in the Agriculture, Mining, Construction and Manufacturing sector (specifically mining and mineral processing) and the Scientific Research and Development Services sector. It also has implications for the Information sector through data processing requirements for AI applications.

Legislative Status

Hard Law

Legislative Status Summary

This is a section of the Infrastructure Investment and Jobs Act passed by the United States Congress, establishing legally binding obligations with specific funding authorizations, grant programs, and interagency coordination requirements.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: This is Section 40210 of the Infrastructure Investment and Jobs Act, which was proposed and enacted by the United States Congress as federal legislation.

Target

• Entity Types: AI_Developer, AI_Infrastructure_Provider
• Summary: The document targets eligible entities that will receive awards for research and development activities involving AI and machine learning for critical minerals mining, including institutions of higher education, National Laboratories, nonprofit organizations, and consortia.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Secretary of Energy, in coordination with the Director of the National Science Foundation and other federal officials, is responsible for issuing awards, establishing grant programs, and ensuring compliance with requirements such as prohibitions on processing by foreign entities of concern.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The Critical Minerals Subcommittee is responsible for coordinating Federal science and technology efforts, assessing progress, evaluating programs, and reporting to Congress on activities and findings.

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

AI Lifecycle Summary

The document primarily addresses the Plan and Design stage by authorizing research into AI applications for critical minerals mining. It also touches on Build and Use Model through references to examining AI and machine learning applications, though without detailed governance measures for model development or deployment.

Technical Scope

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

• Task-specific AI

Technical Scope Summary

The document mentions AI and machine learning in the context of research applications for critical minerals mining. It does not define these terms or specify particular types of AI systems, models, or technical thresholds. The references are limited to examining potential applications rather than governing existing AI systems.