Requires the Commandant to report on establishing a Coast Guard office for developing and acquiring unmanned and counter-unmanned systems. Details management, coordination, contracting strategies, and collaboration with federal agencies, and emphasizes integrating AI and machine learning tools in operations.
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 AI risk domains, with limited focus on AI system security (2.2) through counter-unmanned systems, and brief mentions of governance structures (6.5) and competitive dynamics (6.4) through cross-agency collaboration. The primary focus is on unmanned systems capabilities rather than AI-specific 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
The document primarily governs Public Administration excluding National Security and National Security sectors, as it directs the Coast Guard (a government agency) to develop capabilities for its national security and maritime safety missions. It also has minimal coverage of Scientific Research and Development Services through R&D requirements.
Hard Law
Legislative Status Summary
This is a binding legislative provision enacted by the United States Congress with mandatory reporting requirements and specific deadlines for the Coast Guard Commandant.
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 covers the Plan and Design stage through requirements for developing management and coordination strategies, and the Deploy stage through acquisition and deployment planning. It also addresses Operate and Monitor through data ecosystem development and integration of AI/ML tools for ongoing operations.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI and machine learning tools as key enablers for unmanned systems operations. It focuses on unmanned systems (surface, undersea, and aircraft) and counter-unmanned systems rather than traditional AI models. No specific AI model types, compute thresholds, or open-source considerations are mentioned.
Document data from AGORA, CSET Emerging Technology Observatory.