National Wildland Fire Risk Reduction Program Act, Sec. 7 (Responsibilities of Program Agencies)

• 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

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal coverage of AI risk domains. While it mentions AI-driven data analysis and modeling in the summary, the actual legislative text focuses on wildland fire research, prediction, and mitigation activities without explicitly addressing AI-specific risks. The document does not substantively cover discrimination, privacy, misinformation, malicious actors, human-computer interaction, socioeconomic impacts, or AI system safety risks as defined in the MIT taxonomy.

Sector coverage

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

• Scientific Research & Development Services
• Public Administration (excl. National Security)

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

• Agriculture, Mining, Construction & Manufacturing
• Trade, Transportation & Utilities
• Information
• Finance & Insurance
• Professional & Technical Services
• Educational Services

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs Public Administration (federal agencies conducting wildland fire research and response) and Scientific Research and Development Services (research activities across multiple agencies). It also has coverage of Information sector (data systems and telecommunications), Professional and Technical Services (engineering and technical consulting), and Educational Services (research training and fellowships).

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress that assigns mandatory responsibilities to federal agencies using 'shall' language throughout, creating legally enforceable obligations.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is identified as enacted by the United States Congress, which is the legislative body with authority to create federal statutes and assign responsibilities to federal agencies.

Target

• Entity Types: AI_Governance_Actor
• Entities: National Institute of Standards and Technology (NIST); National Science Foundation (NSF); National Oceanic and Atmospheric Administration (NOAA); Federal Emergency Management Agency (FEMA); National Aeronautics and Space Administration (NASA); Environmental Protection Agency (EPA); Department of Energy (DOE)
• Summary: The Act assigns specific responsibilities to seven federal agencies, making them the primary targets of the legislation. Each agency is given mandatory duties related to wildland fire research, prediction, and mitigation.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress (through oversight and appropriations); Office of Management and Budget (implied); Agency Inspectors General (implied)
• Summary: While not explicitly stated in this section, enforcement of federal statutory obligations on agencies is typically conducted through congressional oversight, appropriations control, and internal agency accountability mechanisms. The mandatory 'shall' language creates enforceable obligations.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Government Accountability Office (implied); Agency Inspectors General (implied)
• Summary: Monitoring of federal agency compliance with statutory mandates is typically performed by Congress through oversight hearings and reports, the Government Accountability Office through audits and evaluations, and agency Inspectors General through internal reviews, though these are not explicitly named in this section.

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 addresses multiple AI lifecycle stages with primary focus on Build and Use Model (computational modeling, AI-driven data analysis), Deploy (implementation of tools and systems), and Operate and Monitor (ongoing monitoring, forecasting, and assessment). It also covers Plan and Design through research planning and Collect and Process Data through data collection and integration activities.

Technical Scope

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

• AI Models
• AI Systems
• Predictive AI

Technical Scope Summary

The document mentions computational models, databases, and AI-driven data analysis in the summary, but the actual legislative text focuses on general computational modeling, data systems, and decision-support tools without explicitly defining or distinguishing between AI models, AI systems, or specific AI categories. No compute thresholds or model weight distribution approaches are mentioned.