Requires the Secretary of the Navy to develop a strategy using artificial intelligence to monitor and predict supply chain challenges in shipbuilding. Instructs AI application for disruptions, shortages, and delays. Demands a report on the strategy 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 risk domain coverage, primarily addressing AI system capabilities and limitations (7.3) through its focus on AI reliability for supply chain monitoring. There is implicit coverage of competitive dynamics (6.4) given the national security context of maintaining shipbuilding capabilities. The document does not substantively address AI-specific risks but rather uses AI as a tool for operational improvement.
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 AI use in National Security (military shipbuilding and defense industrial base) and Manufacturing (maritime industrial base and shipbuilding programs). It also has secondary coverage of Trade, Transportation and Utilities through supply chain management.
Hard Law
Legislative Status Summary
This is a binding legislative provision within the National Defense Authorization Act, using mandatory language ('shall') and establishing legal obligations for the Secretary of the Navy with specific deadlines and reporting requirements to Congress.
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, as it mandates the implementation of AI systems for supply chain monitoring and prediction. There is implicit coverage of Plan and Design through the requirement to develop a strategy with key performance indicators, and minimal coverage of Verify and Validate through the requirement to measure return on investment.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions artificial intelligence as a tool for monitoring and prediction but does not define or distinguish between AI models, AI systems, or specific types of AI. There is no mention of frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds.
Document data from AGORA, CSET Emerging Technology Observatory.