Western Wildfire Support Act of 2025, Section 205 "Study on modernizing wildfire response technologies"

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.

  • Authority: United States Congress
  • Parent authority: Federal government
  • Jurisdiction: United States
  • Collections: U.S. federal laws
  • Most recent activity: Proposed
  • Most recent activity date: 2025-01-14

Risk subdomain coverage

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

  • Lack of capability or robustness

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.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

  • Public Administration (excl. National Security)

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

  • Scientific Research & Development Services

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.

Legislative Status

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.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: United States Congress
  • Summary: The document is titled as an Act of Congress and represents federal legislation, indicating Congress as the proposing authority.

Target

  • Entity Types: AI_Governance_Actor
  • Entities: The Secretaries (federal agency officials responsible for wildfire management)
  • Summary: The document mandates that 'The Secretaries' conduct the study and submit results, making them the primary targets of this governance instrument.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: United States Congress; congressional committees
  • Summary: Congress enforces compliance through the submission requirement to congressional committees and public availability mandate.

Monitor

  • Entity Types: AI_Governance_Actor, Affected_Stakeholder
  • Entities: congressional committees; the public
  • Summary: Congressional committees receive the study results for oversight, and the public availability requirement enables public monitoring.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

  • Plan and Design
  • Collect and Process Data
  • Build and Use Model
  • Verify and Validate

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.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

  • AI Models
  • Predictive AI
  • Task-specific AI

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.

https://www.congress.gov/bill/119th-congress/senate-bill/91/text
https://agora.eto.tech/instrument/2413
Explore in the Document View

Document data from AGORA, CSET Emerging Technology Observatory.