Require the Coast Guard to report on establishing an office for unmanned systems technologies. Include strategies for management, service-wide coordination, contracting, collaboration, and data sharing. Develop operational concepts integrating AI and machine learning tools.
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 implicit references to AI system security (2.2) through counter-unmanned system technologies, and governance structures (6.5) through the establishment of coordination mechanisms. The primary focus is on operational capabilities rather than AI risk mitigation.
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 the Public Administration excluding National Security sector through Coast Guard operations, with secondary coverage of National Security through defense collaboration and maritime security functions. It also touches on Information sector activities through data management and AI/ML integration.
Hard Law
Legislative Status Summary
This is a binding legislative act passed by the United States Congress with mandatory reporting requirements enforced through congressional oversight mechanisms.
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 planning, deployment, and operational monitoring. It addresses the establishment of an office to manage unmanned systems with AI/ML capabilities, including acquisition strategy, deployment planning, and operational integration with data ecosystems.
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 components of the data ecosystem for unmanned systems. It focuses on unmanned systems (surface, undersea, and aircraft) rather than traditional AI models or systems, but includes AI/ML as enabling technologies for data processing and integration.
Document data from AGORA, CSET Emerging Technology Observatory.