Requires study on AI feasibility and data needs for wildland fire predictive modeling. Analyzes computing requirements to enhance modeling accuracy and speed. Reviews AI's potential use in predictive models. Submits results to Congress and public within one year.
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 subdomain 7.3 (Lack of robustness) receiving a coverage score of 2. The document primarily focuses on studying AI feasibility for wildfire modeling rather than addressing AI risks comprehensively.
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, specifically federal agencies responsible for wildfire management and forest services. It does not regulate private sector AI development or deployment.
Hard Law
Legislative Status Summary
This is a binding legislative act from the United States Congress with mandatory language requiring specific actions within defined timeframes.
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 focuses primarily on the Plan and Design stage, as it mandates a feasibility study on AI for wildfire modeling. It implicitly touches on Build and Use Model through analysis of computing needs and data requirements, but does not cover deployment or operational monitoring stages.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions artificial intelligence in the context of wildland fire predictive modeling. It does not define or distinguish between AI models, AI systems, or specific types of AI. No compute thresholds, foundation models, or open-source considerations are mentioned.
Document data from AGORA, CSET Emerging Technology Observatory.