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.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
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.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
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.
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.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
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.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
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.
Document data from AGORA, CSET Emerging Technology Observatory.