Establishes a Fireshed Center to assess and predict fire and smoke using AI and data tools. Promotes coordination, data sharing, and streamlined processes among federal agencies and other entities. Disseminates AI-based decision support products for fire risk reduction and recovery.
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 only implicit references to potential governance coordination (6.4) and system reliability considerations (7.3). The document primarily establishes an organizational structure for wildfire management using AI tools, but does not substantively address AI-specific risks, harms, or safety measures.
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 Public Administration (excluding National Security) through the establishment of a federal interagency center for wildfire management. It has minimal secondary coverage of National Security through Department of Defense participation, and implicit coverage of Scientific Research and Development Services through the involvement of research institutions and development of AI-based decision support tools.
Hard Law
Legislative Status Summary
This is a Congressional statute establishing a federal agency (Fireshed Center) with binding legal obligations on federal departments and agencies, using mandatory language throughout.
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 Deploy and Operate and Monitor stages of the AI lifecycle, focusing on dissemination and operational use of AI-based decision support tools for wildfire management. There is minimal coverage of earlier stages like planning, data collection, or model development.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI in the context of 'data tools (including artificial intelligence)' and 'decision support products' 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, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds.
Document data from AGORA, CSET Emerging Technology Observatory.