Requires the Defense Acquisition University President to enhance curricula with information on several technologies, including AI, and report to Congress.
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 to no coverage of AI risk domains. It is a training mandate focused on enhancing digital literacy for defense acquisition personnel, including AI/ML topics, but does not address specific AI risks, harms, or mitigation measures. The document is procedural and educational in nature rather than risk-focused.
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 by mandating training curricula for defense acquisition personnel. It does not regulate AI use across multiple economic sectors but rather focuses on enhancing the capabilities of government personnel involved in defense-related software and cybersecurity acquisitions.
Hard Law
Legislative Status Summary
This is a binding federal statute enacted by the U.S. Congress as part of the National Defense Authorization Act for Fiscal Year 2023. It contains mandatory obligations using 'shall' language and creates legally enforceable requirements for the Defense Acquisition University and the Secretary of Defense.
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 does not directly govern specific AI lifecycle stages but rather mandates training curricula that covers information about AI and ML technologies. The training is intended to increase digital literacy for acquisition personnel, which indirectly relates to planning and procurement decisions across multiple lifecycle stages.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions artificial intelligence and machine learning as topics to be covered in the training curricula. However, it does not define these terms or distinguish between different types of AI systems, models, or capabilities. The focus is on providing information about these technologies rather than regulating specific AI technical approaches.
Document data from AGORA, CSET Emerging Technology Observatory.