James M. Inhofe National Defense Authorization Act for Fiscal Year 2023, Section 6812 ("Increased intelligence-related engineering, research, and development capabilities of minority institutions")

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: NDAA provisions;U.S. federal laws
• Most recent activity: Enacted
• Most recent activity date: 2022-12-23

Risk subdomain coverage

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal to no coverage of AI risk domains. It is a legislative provision focused on building research capacity at minority institutions for intelligence-related engineering and R&D, including AI. It does not address AI risks, harms, or safety concerns, but rather focuses on workforce development, research infrastructure, and institutional partnerships.

Sector coverage

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

• Scientific Research & Development Services
• Educational Services
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the Educational Services sector (minority-serving institutions of higher education) and the National Security sector (intelligence community research and development activities). It also has coverage of Scientific Research and Development Services through its focus on intelligence-related R&D activities.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the U.S. Congress as part of the National Defense Authorization Act for Fiscal Year 2023, with mandatory obligations on the Director of National Intelligence using 'shall' language throughout.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: This is a section of the James M. Inhofe National Defense Authorization Act for Fiscal Year 2023, enacted by the U.S. Congress, which has constitutional authority to legislate on national defense and intelligence matters.

Target

• Entity Types: AI_Governance_Actor
• Entities: Director of National Intelligence; Intelligence Advanced Research Projects Activity (IARPA); covered institutions (minority-serving higher education institutions); intelligence community
• Summary: The document primarily targets the Director of National Intelligence with mandatory planning and reporting requirements, and secondarily targets covered institutions (minority-serving colleges and universities) as beneficiaries and participants in intelligence-related research programs.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: congressional intelligence committees; Subcommittee on Defense of the Committee on Appropriations of the Senate; Subcommittee on Defense of the Committee on Appropriations of the House of Representatives
• Summary: Congressional committees are designated as the oversight bodies receiving mandatory reports and exercising appropriations control over the implementation of this provision.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: congressional intelligence committees; Subcommittee on Defense of the Committee on Appropriations of the Senate; Subcommittee on Defense of the Committee on Appropriations of the House of Representatives; public (through website disclosure)
• Summary: The same congressional committees that enforce also monitor implementation through mandatory reporting requirements. Additionally, public monitoring is enabled through the requirement to make the plan publicly available on the Director's website.

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
• Verify and Validate
• Operate and Monitor

AI Lifecycle Summary

The document addresses multiple AI lifecycle stages with primary focus on Plan and Design (developing research capacity and infrastructure) and Build and Use Model (supporting AI research and development activities). It also implicitly covers Collect and Process Data through research infrastructure development, and has minimal coverage of Operate and Monitor through metrics and measurement requirements.

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 explicitly mentions artificial intelligence, machine learning, and quantum computing as key technical areas for intelligence-related research and development. It does not define or distinguish between different types of AI systems, models, or capabilities, nor does it mention compute thresholds or open-source models.