Ensure the Director applies AI policies to publicly available models in classified environments. Require the Chief AI Officer to establish AI testing standards considering risk and ensure secure environments for model evaluation. Prevent intelligence community authority over model alterations for viewpoint bias.
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 risk domains, with primary focus on AI system security (2.2) through testing standards and secure computing environments. There is implicit coverage of governance failure (6.5) through establishment of oversight mechanisms, and minimal coverage of system safety (7.3, 7.4) through testing requirements. The document is primarily procedural rather than risk-focused.
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's use of AI models in classified environments. It establishes testing standards, secure computing requirements, and policy application for AI models used by intelligence agencies.
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. It contains mandatory language ('shall') establishing legal obligations for the Director of National Intelligence and intelligence community officers, with clear enforcement authority through the executive branch.
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 primarily covers the Verify and Validate stage through establishment of testing standards and benchmarks, and the Deploy stage through requirements for secure computing environments and pre-acquisition evaluation. It also addresses Operate and Monitor through policy application to models in classified environments.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI models and focuses on publicly available models hosted in classified environments. It does not define specific AI types (frontier, general purpose, generative, etc.) or mention compute thresholds or open-weight models. The scope is broad, covering models 'generally available to the public' when used in intelligence community contexts.
Document data from AGORA, CSET Emerging Technology Observatory.