Establishes a "Cross-Functional Team" led by the Chief Digital and Artificial Intelligence Officer for artificial intelligence (AI) model assessment in the Department of Defense (DOD). Mandates designation of functional leads for AI applications in DOD. Requires assessment of major AI systems by 2028, followed by a congressional briefing and ends the team by 2030.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has minimal coverage of AI risk domains, with primary focus on governance structures (6.5) and system safety/robustness (7.3). It addresses governance failure risks through establishment of oversight mechanisms and assessment frameworks. Coverage is concentrated in organizational governance and system reliability domains, with no substantive coverage of discrimination, privacy, misinformation, malicious use, human-computer interaction, or socioeconomic risks.
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 AI use within the National Security sector, specifically within the Department of Defense and its military operations. It does not regulate AI use in any civilian economic sectors.
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 2026. It contains mandatory obligations with specific deadlines and enforcement through congressional oversight mechanisms.
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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 comprehensively covers all AI lifecycle stages from planning through operational monitoring. It establishes governance structures spanning the entire lifecycle, with particular emphasis on assessment, testing, validation, deployment approval processes, and ongoing monitoring of AI models within the Department of Defense.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly and repeatedly references 'artificial intelligence models' and 'artificial intelligence systems' throughout. It defines 'major artificial intelligence system' in detail but does not mention frontier AI, general purpose AI, foundation models, generative AI, predictive AI, open-weight models, or specific compute thresholds. The focus is on AI models and systems broadly within DOD operations.
Document data from AGORA, CSET Emerging Technology Observatory.