Advanced Weather Model Computing Development Act

Directs the Secretary of Energy and NOAA Administrator to conduct collaborative research using AI and advanced computing to improve weather models. Establishes initiatives and potential centers of excellence, promoting data sharing and workforce development. Requires reports on progress.

  • 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.

  • AI system security vulnerabilities
  • 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 above 1. The document primarily focuses on collaborative research and development for weather modeling using AI and advanced computing, rather than addressing AI risks and harms. While it mentions AI and advanced computing techniques, it does not substantively address the risks associated with these technologies.

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 document primarily governs AI use in Scientific Research and Development Services and Public Administration (excluding National Security). It establishes collaborative research between federal agencies (DOE and NOAA) to develop AI-enabled weather models, with potential applications across multiple sectors that rely on weather forecasting.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative instrument introduced in the U.S. Senate that would create legal obligations for the Secretary of Energy and NOAA Administrator to conduct collaborative research activities. The document uses mandatory language throughout and establishes enforceable requirements.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Summary: The bill was introduced in the U.S. Senate by Senator Luján with Senator Blackburn as co-sponsor, as indicated in the header of the legislative document.

Target

  • Entity Types: AI_Governance_Actor, AI_Developer
  • Summary: The Act directs the Secretary of Energy and NOAA Administrator to conduct collaborative research activities. It also applies to entities that may participate through competitive processes, including National Laboratories, Federal agencies, institutions of higher education, and nonprofit institutions.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Summary: Congressional oversight is the primary enforcement mechanism, with mandatory reporting requirements to specified Congressional committees. The Act also references compliance with existing research security legislation.

Monitor

  • Entity Types: AI_Governance_Actor
  • Summary: The Act establishes reporting requirements to Congressional committees for monitoring progress and effectiveness. The Secretary and Administrator are also required to evaluate and report on the Initiative's effectiveness and collaborative achievements.

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, Deploy, and Operate and Monitor stages. It addresses the development and deployment of AI-enabled advanced weather models using techniques like machine learning and artificial intelligence, with provisions for testing, 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 mentions AI and advanced computing techniques including artificial intelligence, machine learning, and high-performance computing. It focuses on advanced weather models but does not specifically mention frontier AI, general purpose AI, foundation models, or compute thresholds. The scope is task-specific AI for weather prediction applications.

https://www.congress.gov/bill/118th-congress/senate-bill/3642
https://agora.eto.tech/instrument/487
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Document data from AGORA, CSET Emerging Technology Observatory.