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.
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.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
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.
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.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
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.
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.
Document data from AGORA, CSET Emerging Technology Observatory.