National Defense Authorization Act for Fiscal Year 2024, Section 253 ("Annual review of status of implementation plan for digital engineering career tracks")

Requires an annual report on the Department of Defense's digital engineer career track plan by the Secretary of Defense to Congress, including an assessment of how advances in machine learning affect the plan.

  • 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: 2023-12-22

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 procedural requirement for annual reporting on digital engineering career track implementation and does not address specific AI risks, harms, or safety concerns. The document focuses on workforce planning and personnel management rather than AI risk mitigation.

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 career development for digital engineering personnel. It does not regulate AI use across multiple economic sectors but rather addresses internal personnel management within the defense establishment.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding statutory provision enacted by the U.S. Congress as part of the National Defense Authorization Act for Fiscal Year 2024, imposing mandatory reporting obligations on the Secretary of Defense with specific deadlines and requirements.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: United States Congress
  • Summary: The document is Section 253 of the National Defense Authorization Act for Fiscal Year 2024, which is enacted by the United States Congress as the legislative authority.

Target

  • Entity Types: AI_Governance_Actor
  • Entities: Secretary of Defense; Department of Defense
  • Summary: The document explicitly imposes obligations on the Secretary of Defense to conduct reviews and submit reports regarding the Department of Defense's digital engineering career track implementation.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: congressional defense committees; United States Congress
  • Summary: The congressional defense committees receive the mandatory reports and exercise oversight authority over the Secretary of Defense's compliance with this statutory requirement.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: congressional defense committees; Secretary of Defense
  • Summary: The congressional defense committees monitor compliance through receipt and review of annual reports. The Secretary of Defense also conducts internal reviews to monitor implementation status.

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 govern specific AI lifecycle stages but rather focuses on workforce planning and career development for digital engineering personnel. It indirectly relates to the 'Plan and Design' stage through consideration of how technological changes in data science and machine learning affect personnel planning.

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 machine learning and data science as technological areas affecting personnel planning but does not explicitly define or govern AI models, AI systems, or specific categories of AI. The focus is on workforce development rather than technical AI governance.

https://www.congress.gov/bill/118th-congress/house-bill/2670/text
https://agora.eto.tech/instrument/202
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Document data from AGORA, CSET Emerging Technology Observatory.