Requires each Department of Defense service acquisition executive to submit to Department leadership a report on how they are addressing a series of risks in acquisition programs, including potential complications posed by Department system changes created by artificial intelligence.
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 focus on AI system security (2.2), competitive dynamics (6.4), and AI safety failures (7.2, 7.3). Coverage is concentrated in security vulnerabilities, supply chain risks, and system robustness concerns related to AI-enabled defense acquisition programs.
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, specifically addressing AI acquisition risks within Department of Defense programs. It does not regulate private sector AI development but rather internal DoD acquisition processes and risk management.
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 2021, with mandatory reporting requirements and specific deadlines for Department of Defense officials.
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 Build and Use Model, Verify and Validate, Deploy, and Operate and Monitor stages. It addresses risks throughout the acquisition lifecycle including technical development, integration, testing, deployment, and sustainment of AI-enabled defense systems.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems and machine learning capabilities in the context of defense acquisition programs. It focuses on systems that use AI to continuously change and optimize performance across multiple domains. No specific AI model types, compute thresholds, or distinctions between frontier/general-purpose/task-specific AI are mentioned.
Document data from AGORA, CSET Emerging Technology Observatory.