Transformational Artificial intelligence to Modernize the Economy against Extreme Weather Act

• 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.

• Compromise of privacy
• 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 are brief mentions related to data privacy (2.1) regarding intellectual property and trade secrets, and minimal coverage of governance structures. The document primarily focuses on AI applications for weather forecasting rather than AI risks and harms.

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 Act primarily governs AI use in Public Administration (specifically NOAA and federal environmental agencies) and Scientific Research and Development Services (weather forecasting, climate research, and environmental modeling). It also has implications for Information sector entities that develop AI weather models.

Legislative Status

Hard Law

Legislative Status Summary

This is a Congressional Act with binding legal obligations on the Administrator of NOAA, using mandatory language throughout and establishing specific requirements, timelines, and reporting obligations.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: This is a Congressional Act proposed and enacted by the United States Congress, as indicated by the legislative format and structure.

Target

• Entity Types: AI_Governance_Actor, AI_Developer
• Summary: The Act primarily targets the Administrator of NOAA with mandatory obligations to develop AI applications for weather forecasting. It also applies to private and academic entities through partnership provisions and assessment of non-Federal AI weather models.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: Congressional committees are designated as oversight bodies receiving mandatory reports on implementation, providing enforcement through Congressional oversight mechanisms.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: Congressional committees monitor implementation through mandatory reporting requirements. The Act also provides for independent assessment by the National Academy of Sciences or similar entities.

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), Deploy (implementing AI applications for weather forecasting), and Operate and Monitor (ongoing assessment and evaluation of AI weather models). It also addresses Plan and Design through partnership structures and Collect and Process Data through comprehensive dataset development requirements.

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 focuses on AI models and AI systems for weather forecasting applications. It defines 'artificial intelligence weather model' as a specific type of AI system and discusses machine learning, neural networks, and natural language processing. There is no mention of frontier AI, general purpose AI, foundation models, or compute thresholds. The focus is on task-specific AI applications for weather, fire, and emissions forecasting.