Establishes a pilot program for deploying and testing wildfire prevention technologies, prioritizing AI and emerging technologies. Requires collaboration between federal agencies and private entities. Mandates annual reports on technologies tested and potential large-scale adoption. Program expires September 30, 2029.
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 coverage of AI risk domains, with only implicit references to AI system safety and governance. The primary focus is on establishing a pilot program for wildfire technology deployment rather than addressing AI-specific risks. Coverage is limited to governance structures (6.5) and potentially system safety considerations (7.3), but these are addressed only at a high level through program oversight mechanisms.
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 requirements for federal land management agencies to participate in wildfire technology testing. It also has minimal coverage of Scientific Research and Development Services through the involvement of research institutions, and Professional and Technical Services through private technology developers.
Hard Law
Legislative Status Summary
This is a statutory provision enacted by the United States Congress as part of the Farm, Food, and National Security Act of 2024. It contains mandatory obligations using 'shall' language and establishes binding requirements for federal agencies.
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, as it focuses on real-world testing and deployment of wildfire technologies including AI systems. It also addresses Verify and Validate through the testing and assessment requirements for technologies before potential large-scale adoption.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
No technical scope terms identified.
Technical Scope Summary
The document explicitly mentions artificial intelligence as a priority emerging technology for wildfire mitigation, along with quantum sensing, computing, augmented reality, and 5G networks. It does not define AI models, AI systems, or distinguish between different types of AI (frontier, general purpose, task-specific, etc.), nor does it mention compute thresholds or open-weight models.
Document data from AGORA, CSET Emerging Technology Observatory.