Instructs the Secretary of Defense to measure, track and reward programming, coding and artificial intelligence proficiency amongst armed forces and civilian employees of the Department of Defense.
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 focuses on workforce development and competency measurement rather than AI risk mitigation. No risk subdomains receive substantive coverage.
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 Department of Defense and related federal national security agencies. It mandates AI and programming competency testing, tracking, and incentive systems for military and civilian personnel within these organizations.
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 2021, with mandatory obligations on the Secretary of Defense and explicit authority to create special pay provisions codified in the United States Code.
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 address AI system development lifecycle stages. Instead, it focuses on measuring and incentivizing human competency in programming and AI skills within the Department of Defense workforce. It addresses the operational context in which AI tools are used by personnel but does not govern the lifecycle of AI systems themselves.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
No technical scope terms identified.
Technical Scope Summary
The document mentions machine learning tools and artificial intelligence competency but does not define or distinguish between AI models, AI systems, or specific types of AI. It focuses on human proficiency in using AI tools rather than governing AI systems themselves. No compute thresholds or model types are specified.
Document data from AGORA, CSET Emerging Technology Observatory.