Modernizing Wildfire Safety and Prevention Act of 2024, Section 405 ("Joint Office of the Fire Environment Center (Report Recommendations 104, 105, 106)")

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Defunct
• Most recent activity date: 2025-01-03

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 limited focus on AI system safety and failures (7.3). The document primarily establishes governance structures for wildfire management using AI/ML technologies but does not substantively address the risks and harms described in most MIT taxonomy subdomains. Coverage is concentrated on operational reliability concerns rather than broader AI safety, security, or societal risks.

Sector coverage

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

• Scientific Research & Development Services
• Health Care & Social Assistance
• Public Administration (excl. National Security)

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

• Information
• Professional & Technical Services
• Educational Services

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs AI use in Public Administration (excluding National Security) through the establishment of a federal Joint Office for wildfire management. It also has significant coverage of Scientific Research and Development Services through its R&D mandate for AI/ML technologies, and addresses Health Care and Social Assistance through public health monitoring and air quality services.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress with mandatory language, specific appropriations, and enforceable obligations on federal agencies.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: This is a Congressional Act establishing a federal office. The document is titled as an Act and uses legislative language typical of Congressional statutes.

Target

• Entity Types: AI_Governance_Actor, AI_Developer
• Summary: The Act establishes obligations for federal agencies to participate in the Joint Office and for the Joint Office itself to develop and test AI/ML technologies. The Data Services branch is specifically tasked with testing AI technologies, and the Technology and Engineering branch may enter into public-private partnerships, suggesting private AI developers may also be targets.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Board governs the Joint Office and appoints the Director. The Director has budget and decisionmaking authority. The Administrator of NOAA has overall responsibility for carrying out the section and receives appropriations.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The Board meets quarterly and oversees the Joint Office. The Director manages operations and staff. The Act encourages consultation with EPA, NASA, USGS, and CDC for data sharing, suggesting these agencies may have monitoring or oversight roles.

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
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with primary focus on Build and Use Model (testing AI/ML technologies), Deploy (making products available to users), and Operate and Monitor (real-time services and decision support). It also addresses Plan and Design through the establishment of governance structures and technological common operating environments.

Technical Scope

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

• AI Models
• AI Systems
• Predictive AI
• Task-specific AI

Technical Scope Summary

The document explicitly mentions AI and machine learning technologies for fire management applications. It does not reference frontier AI, general purpose AI, foundation models, or compute thresholds. The focus is on task-specific AI applications for wildfire risk modeling, resource allocation, and decision support.