Improves NOAA's communication system for hazardous weather risks using social, behavioral, and AI research. Simplifies terminology, enhances communication methods, and evaluates effectiveness. Coordinates with governmental and educational partners to ensure timely, consistent public information dissemination.
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 coverage of AI risk domains. It primarily addresses the use of AI/ML technologies as tools to support data analysis for weather communication (7.3), with brief implicit references to ensuring equitable communication across demographics (1.3). The document does not substantively address AI-specific risks but rather focuses on improving weather risk communication systems that may incorporate AI 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 Public Administration (excluding National Security) through its regulation of NOAA's weather communication systems. It has minimal secondary coverage of Information sector activities related to broadcasting and telecommunications of weather information, and Educational Services through coordination with institutions of higher education.
Hard Law
Legislative Status Summary
This is a binding federal statute enacted by the United States Congress amending the Weather Research and Forecasting Innovation Act of 2017, with mandatory obligations on the Under Secretary of NOAA using 'shall' language throughout.
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 addresses multiple AI lifecycle stages with primary focus on Deploy and Operate and Monitor stages. It requires the development and implementation of AI/ML-supported data analysis systems for weather communication, along with ongoing evaluation and improvement of these systems.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
No technical scope terms identified.
Technical Scope Summary
The document explicitly mentions artificial intelligence and machine learning technologies as tools to support data analysis for weather risk communication. It does not define specific AI model types, compute thresholds, or distinguish between different categories of AI systems, but rather treats AI/ML as analytical tools within a broader communication improvement framework.
Document data from AGORA, CSET Emerging Technology Observatory.