Transformational Artificial intelligence to Modernize the Economy against 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.

• Unequal performance across groups
• AI system security vulnerabilities
• Competitive dynamics
• 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 security vulnerabilities (2.2), governance structures (6.5), and system robustness (7.3). The document primarily addresses weather forecasting applications rather than AI risks and harms. Coverage is concentrated on technical development and deployment procedures rather than 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

The document primarily governs AI use in Public Administration (excluding National Security) through federal weather forecasting agencies, with secondary coverage of Scientific Research and Development Services and Information sectors through partnerships and data dissemination activities.

Legislative Status

Hard Law

Legislative Status Summary

This is a Congressional Act with binding legal obligations, mandatory language throughout, and authorized appropriations for enforcement. The document uses 'shall' repeatedly to impose requirements on the Under Secretary and includes specific funding authorization.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is a Congressional Act enacted by the Senate and House of Representatives, as stated in the opening clause.

Target

• Entity Types: AI_Governance_Actor, AI_Developer
• Summary: The Act primarily targets the Under Secretary (NOAA) with mandatory requirements to develop AI weather models and datasets. It also governs partnerships with private, academic, and international entities for AI weather forecasting development.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Under Secretary is responsible for implementing and enforcing the requirements of the Act. Congressional committees receive biennial reports for oversight. The Secretary of Defense is consulted on national security protections.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: Congressional committees monitor implementation through mandatory biennial reports. The Act also authorizes independent assessment by the National Academy of Sciences or similar entity 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 comprehensively covers multiple AI lifecycle stages with primary focus on Plan and Design, Collect and Process Data, Build and Use Model, and Operate and Monitor. It addresses the full development pipeline for AI weather models from dataset curation through operational deployment and ongoing evaluation.

Technical Scope

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

• AI Models
• AI Systems
• Open Weight / Open Source
• Predictive AI
• Task-specific AI

Technical Scope Summary

The document explicitly defines and focuses on 'artificial intelligence weather models' as AI systems using machine learning, neural networks, and natural language processing for weather forecasting. It does not address frontier AI, general purpose AI, foundation models, or compute thresholds. The scope is specifically task-specific AI for weather, water, and space weather forecasting applications.