Authorizes the EPA Administrator to award grants and contracts for emerging technologies addressing water quality. Mandates the use of AI, quantum information science, and robotics for water quality projects.
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 focuses on funding and promoting emerging technologies (including AI) for water quality projects, with minimal attention to AI-specific risks. The only substantive coverage relates to governance structures (6.5) through the establishment of oversight mechanisms, reporting requirements, and public data accessibility mandates. There is no meaningful coverage of discrimination, privacy, misinformation, malicious use, human-computer interaction, socioeconomic impacts beyond governance, or AI system safety risks.
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 the Trade, Transportation and Utilities sector (specifically water utilities and environmental protection), with secondary coverage of Scientific Research and Development Services, Educational Services, and Public Administration. The legislation mandates use of AI and emerging technologies for water quality projects across these sectors.
Hard Law
Legislative Status Summary
This is a binding federal statute enacted by the United States Congress with mandatory obligations, enforcement mechanisms through the EPA Administrator, and legally binding requirements for fund establishment, grant administration, and reporting.
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 (research, development, and design of AI technologies) and Deploy (implementation of AI systems for water quality projects). It also addresses Plan and Design through its emphasis on innovative technological approaches, and Operate and Monitor through reporting requirements on project effectiveness.
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 as one of several emerging technologies to be used for water quality projects. It does not distinguish between different types of AI (frontier, general purpose, task-specific, foundation models, generative, or predictive). There is no mention of compute thresholds or open-weight/open-source models. The focus is on AI as a tool among other technologies rather than detailed AI system specifications.
Document data from AGORA, CSET Emerging Technology Observatory.