Servicemember Quality of Life Improvement and National Defense Authorization Act for Fiscal Year 2025, Section 221 ("Improvements relating to defining, identifying, and planning the artificial intelligence workforce of the Department of Defense")

Requires the Secretary of Dense to appoint a 'Chief Digital Engineering Recruitment and Management Officer of the Department of Defense' responsible for AI workforce policy and planning.

  • Authority: United States Congress
  • Parent authority: Federal government
  • Jurisdiction: United States
  • Collections: FY2025 NDAA;NDAA provisions
  • Most recent activity: Enacted
  • Most recent activity date: 2024-12-23

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 focuses exclusively on workforce planning and organizational structure for AI personnel within the Department of Defense, without addressing specific AI risks, harms, or safety concerns. No risk subdomains receive substantive coverage.

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 Department of Defense's internal workforce planning and management for artificial intelligence personnel. It does not regulate AI use across other economic sectors.

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 2025, with mandatory obligations, specific deadlines, and legal authority over Department of Defense operations.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: United States Congress
  • Summary: The document is Section 221 of the National Defense Authorization Act for Fiscal Year 2025, which is enacted by the United States Congress as the legislative authority.

Target

  • Entity Types: AI_Governance_Actor
  • Entities: Department of Defense; Secretary of Defense; Chief Digital Engineering Recruitment and Management Officer of the Department of Defense
  • Summary: The document directly governs the Department of Defense and requires the Secretary of Defense to appoint a specific officer and implement workforce planning measures for AI personnel.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Committees on Armed Services of the Senate and the House of Representatives; congressional defense committees
  • Summary: Congressional committees are designated to receive mandatory reports and briefings, providing oversight and enforcement through their legislative and budgetary authority over the Department of Defense.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Committees on Armed Services of the Senate and the House of Representatives; congressional defense committees
  • Summary: The same Congressional committees that enforce also monitor implementation through required reports and briefings on workforce planning activities and progress.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

  • Plan and Design

AI Lifecycle Summary

The document does not directly address specific AI lifecycle stages of development, deployment, or operation. Instead, it focuses on workforce planning and organizational structure to support AI capabilities across the Department of Defense. The governance measures are about human capital management rather than technical AI system lifecycle stages.

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 workforce' throughout but does not define or distinguish between AI models, AI systems, or specific types of AI. The focus is on workforce roles and human capital planning rather than technical AI system characteristics.

https://www.congress.gov/bill/118th-congress/house-bill/5009/text
https://agora.eto.tech/instrument/1758
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Document data from AGORA, CSET Emerging Technology Observatory.