Requires all designated element lead in the intelligence community to submit a report detailing their efforts in developing, acquiring, adopting, and maintaining artificial intelligence for enhancing intelligence collection, analysis, and internal workflows.
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
This document has minimal coverage of risk domains, primarily addressing governance structures and competitive dynamics. It focuses on reporting requirements and adoption processes rather than specific AI risks or harms. The document mentions governance coordination (6.4, 6.5) and implicitly touches on competitive dynamics with foreign adversaries, but does not substantively address most risk categories in the MIT taxonomy.
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 intelligence community elements. It does not apply to private sector organizations or other government sectors beyond national security and intelligence operations.
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 2023, with mandatory reporting requirements 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 covers multiple AI lifecycle stages with primary focus on deployment and operational monitoring. It addresses planning and design through reporting on adoption strategies, build and use through development and acquisition requirements, deployment through adoption processes, and operate and monitor through ongoing progress tracking and audits.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions 'artificial intelligence' throughout but does not define it or distinguish between AI models, AI systems, or specific types of AI. It does not reference frontier AI, general purpose AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on AI capabilities broadly for intelligence collection and analysis.
Document data from AGORA, CSET Emerging Technology Observatory.