Mandates the Secretary of Defense to assess means to increase the use of AI in the DoD's multi-cloud environment and identify policies and processes to enforce Government data is protected in the training of AI models.
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 approximately 3-4 subdomains, with primary focus on AI system security (2.2), competitive dynamics (6.4), and lack of robustness (7.3). Coverage is concentrated in security and system safety domains, with limited attention to governance failure risks.
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 the National Security sector, as it mandates the Department of Defense to develop strategies for managing multi-cloud environments and AI adoption. It also has implications for the Information sector through requirements for cloud service providers and data protection in AI model training.
Hard Law
Legislative Status Summary
This is a binding statutory provision enacted by the United States Congress as part of the National Defense Authorization Act for Fiscal Year 2025, with mandatory obligations imposed on the Secretary of Defense using legally binding language.
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 addresses the Deploy and Operate and Monitor stages of the AI lifecycle, focusing on the adoption of AI applications into multi-cloud environments and ongoing management of those systems. It also touches on Plan and Design through strategy development requirements.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI applications and AI models in the context of multi-cloud environments. It addresses the use of government data to train AI models and the adoption of AI applications into DoD systems. No specific AI categories (frontier, general purpose, task-specific, foundation models, generative, predictive) or compute thresholds are mentioned.
Document data from AGORA, CSET Emerging Technology Observatory.