Advanced Weather Model Computing Development 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.

• Competitive dynamics

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal risk domain coverage, with only subdomain 6.4 (Competitive dynamics) receiving a coverage score of 2. The document primarily focuses on collaborative research infrastructure and does not substantively address AI risks or harms 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.

• Educational Services
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This Act primarily governs AI use in Public Administration (specifically federal agencies DOE and NOAA conducting weather and climate research) and Scientific Research and Development Services (collaborative research activities). It does not regulate private sector entities but rather directs federal government research coordination.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress with mandatory obligations on federal agencies (Department of Energy and NOAA), enforceable through congressional oversight and appropriations authority.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; House of Representatives
• Summary: The document is a Congressional Act passed by the House of Representatives and received by the Senate, indicating Congress as the proposing authority.

Target

• Entity Types: AI_Governance_Actor
• Entities: Department of Energy; National Oceanic and Atmospheric Administration; National Laboratories; institutions of higher education; nonprofit institutions; Federal agencies
• Summary: The Act directs the Department of Energy and NOAA to conduct collaborative research activities, with participation from National Laboratories, universities, nonprofits, and other federal agencies through competitive processes.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Committee on Science, Space, and Technology of the House of Representatives; Committee on Commerce, Science, and Transportation; Committee on Energy and Natural Resources of the Senate
• Summary: Congressional committees are designated to receive mandatory reports and conduct oversight of the activities, providing enforcement through congressional oversight mechanisms.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Committee on Science, Space, and Technology of the House of Representatives; Committee on Commerce, Science, and Transportation; Committee on Energy and Natural Resources of the Senate
• Summary: The same congressional committees that enforce also monitor implementation through mandatory progress reports due two years after enactment, evaluating interagency coordination, technical capabilities, research achievements, and future opportunities.

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 (AI development for weather/climate modeling), Verify and Validate (proof of concept scenarios, comparative research), and Operate and Monitor (real-time forecasting, ongoing research coordination). It also addresses Plan and Design through collaborative research planning and Data collection through large-scale data analytics provisions.

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 explicitly mentions AI systems, machine learning, and high performance computing for weather and climate modeling. It does not mention frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, open-weight models, or specific compute thresholds. The focus is on applied AI for numerical weather prediction and climate modeling.