James M. Inhofe National Defense Authorization Act for Fiscal Year 2023, Section 6721 ("Reports on integration of artificial intelligence within intelligence community")

Requires all designated element lead in the intelligence community to submit a report detailing their efforts in developing, acquiring, adopting, and maintaining artificial intelligence for enhancing intelligence collection, analysis, and internal workflows.

  • 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

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

  • Competitive dynamics
  • Governance failure

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal coverage of risk domains, primarily addressing governance structures and competitive dynamics. It focuses on reporting requirements and adoption processes rather than specific AI risks or harms. The document mentions governance coordination (6.4, 6.5) and implicitly touches on competitive dynamics with foreign adversaries, but does not substantively address most risk categories in the MIT taxonomy.

Sector coverage

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

  • National Security

All other sectors had no coverage in this document.

Sectors Summary

This document exclusively governs the National Security sector, specifically the intelligence community elements. It does not apply to private sector organizations or other government sectors beyond national security and intelligence operations.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress as part of the National Defense Authorization Act for Fiscal Year 2023, with mandatory reporting requirements and enforcement through congressional oversight mechanisms.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: United States Congress
  • Summary: The document is a section of the James M. Inhofe National Defense Authorization Act for Fiscal Year 2023, enacted by the United States Congress, which has legislative authority to create binding requirements for the intelligence community.

Target

  • Entity Types: AI_Governance_Actor, AI_Developer, AI_Deployer
  • Entities: Intelligence community elements; Director of National Intelligence; Office of the Director of National Intelligence; Intelligence Community Chief Data Officer
  • Summary: The document applies to all elements of the intelligence community, requiring them to report on their AI development, acquisition, adoption, and maintenance efforts. These entities are both governance actors (government agencies) and AI developers/deployers in their operational capacity.

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; Inspectors General
  • Summary: Congressional committees receive mandatory reports and have oversight authority, while Inspectors General are explicitly tasked with conducting audits to evaluate compliance with the requirements.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Inspectors General; Inspector General of the Intelligence Community; Congressional intelligence committees; Director of National Intelligence
  • Summary: Inspectors General are explicitly required to conduct audits evaluating AI adoption efforts and compliance. The Director of National Intelligence must submit annual reports tracking progress, and congressional committees receive these reports for oversight purposes.

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
  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with primary focus on deployment and operational monitoring. It addresses planning and design through reporting on adoption strategies, build and use through development and acquisition requirements, deployment through adoption processes, and operate and monitor through ongoing progress tracking and audits.

Technical Scope

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

  • AI Systems

Technical Scope Summary

The document explicitly mentions 'artificial intelligence' throughout but does not define it or distinguish between AI models, AI systems, or specific types of AI. It does not reference frontier AI, general purpose AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on AI capabilities broadly for intelligence collection and analysis.

https://www.congress.gov/bill/117th-congress/house-bill/7776/text
https://agora.eto.tech/instrument/10
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Document data from AGORA, CSET Emerging Technology Observatory.