Requires the Commander of the United States Cyber Command and the Chief Information Officer of the Department of Defense to develop a five-year implementation plan for rapidly adopting and acquiring artificial intelligence systems to support the Department of Defense.
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 to good coverage of approximately 5-7 subdomains, with primary focus on AI system security (2.2), malicious actors and cyberattacks (4.1, 4.2), competitive dynamics (6.4), and AI system safety failures (7.2, 7.3). Coverage is concentrated in security, defense against adversarial AI, and capability development domains.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
This document primarily governs AI use within the National Security sector, specifically for Department of Defense cyber operations. It also has minimal coverage of Scientific Research and Development Services through references to DARPA's involvement in AI research for cyber applications.
Hard Law
Legislative Status Summary
This is a binding legislative provision enacted by the United States Congress as part of the National Defense Authorization Act, containing mandatory requirements with specific deadlines and enforcement through congressional oversight mechanisms.
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 comprehensively covers all AI lifecycle stages from planning through operational monitoring, with particular emphasis on the Plan and Design, Deploy, and Operate and Monitor stages. It requires development of a five-year roadmap covering identification, development, acquisition, adoption, and sustainment of AI systems for cyber operations.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems and applications throughout, with focus on artificial intelligence systems for cyber operations. It does not specifically mention frontier AI, general purpose AI, foundation models, generative AI, predictive AI, or compute thresholds. There is no explicit mention of open-weight or open-source models.
Document data from AGORA, CSET Emerging Technology Observatory.