Develops advanced AI applications for weather forecasting, enhances AI weather model integration, and improves emissions monitoring. Supports AI use to predict extreme weather impacts and fires. Encourages public-private partnerships and workforce development, ensuring data access while safeguarding national security and intellectual property.
Analysis summaries, actor details, and coverage mappings were LLM-classified and may contain errors.
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.
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.
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.
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.
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.
United States Congress
This is a Congressional Act proposed and enacted by the United States Congress, as indicated by the legislative format and structure.
Committee on Commerce, Science, and Transportation of the Senate, Committee on Science, Space, and Technology of the House of Representatives
Congressional committees are designated as oversight bodies receiving mandatory reports on implementation, providing enforcement through Congressional oversight mechanisms.
Committee on Commerce, Science, and Transportation of the Senate, Committee on Science, Space, and Technology of the House of Representatives, National Academy of Sciences
Congressional committees monitor implementation through mandatory reporting requirements. The Act also provides for independent assessment by the National Academy of Sciences or similar entities.
Administrator of the National Oceanic and Atmospheric Administration (NOAA), private entities developing AI weather models, academic entities
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.
3 subdomains (3 Minimal)