TAME Extreme Weather and Wildfires Act

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2025-04-09

Risk subdomain coverage

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

• Environmental harm
• 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 environmental harm (6.6) through best practices for minimizing environmental impacts of AI use. There is implicit minimal coverage of system safety (7.3) through requirements for model testing and evaluation. The document primarily focuses on AI applications for weather forecasting rather than AI risk mitigation.

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.

• Information
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs AI use in Public Administration (excluding National Security) through NOAA's weather forecasting activities, with significant coverage of Scientific Research and Development Services through research partnerships and AI model development. It also has minimal coverage of Information sector through data processing and telecommunications aspects of weather information delivery.

Legislative Status

Hard Law

Legislative Status Summary

This is a Congressional bill that, if enacted, would create binding legal obligations on the Under Secretary of Commerce for Oceans and Atmosphere (NOAA) to develop AI-based weather forecasting systems and programs. The document uses mandatory language throughout ('shall') and establishes specific requirements with reporting obligations to Congressional committees.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is a Congressional bill proposed by the legislative branch of the United States government, as indicated by the enactment clause and the legislative format.

Target

• Entity Types: AI_Governance_Actor, AI_Developer
• Summary: The primary target is NOAA (through the Under Secretary) which is directed to develop AI weather models and programs. The document also targets private and academic entities through partnership provisions and the broader 'weather enterprise' for technical assistance and best practices.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: Congressional committees are designated to receive mandatory reports and provide oversight of the Under Secretary's implementation of the Act's requirements.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The Congressional committees monitor implementation through mandatory annual reporting requirements. The document also provides for independent assessment by the National Academy of Sciences or similar entities to evaluate impacts of AI weather models.

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 (developing AI weather models and training datasets), Verify and Validate (testing models, reforecast analysis, assessment frameworks), Deploy (making models operational), and Operate and Monitor (ongoing evaluation, technical assistance, workforce development). There is also coverage of Plan and Design through partnership structures and Collect and Process Data through comprehensive dataset curation requirements.

Technical Scope

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

• AI Models
• AI Systems

Technical Scope Summary

The document explicitly mentions AI models (specifically 'artificial intelligence weather models') and AI systems throughout. It does not explicitly reference frontier AI, general purpose AI, task-specific AI, foundation models, or compute thresholds. The focus is on domain-specific AI applications for weather forecasting. The document does not explicitly distinguish between generative and predictive AI, though the weather forecasting applications described are inherently predictive. There is no explicit mention of open-weight or open-source models, though open data access is addressed.