Amends the Federal Water Pollution Control Act and Safe Drinking Water Act to authorize grants for smart water infrastructure technology. Supports AI and intelligent optimization tools to improve water systems' efficiency, reliability, and decision-making.
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, with only subdomain 7.3 (Lack of robustness) receiving a coverage score of 2. The document primarily focuses on authorizing grants for smart water infrastructure technology that uses AI and intelligent optimization tools, but does not substantively address the risks and harms associated with AI systems. The brief mentions relate to improving system reliability and decision-making, which implicitly touch on capability concerns.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
All other sectors had no coverage in this document.
Sectors Summary
This document primarily governs the Trade, Transportation and Utilities sector, specifically the utilities subsector focused on water and wastewater infrastructure. It also has coverage of Public Administration excluding National Security through its regulation of publicly owned treatment works and community water systems operated by government entities.
Hard Law
Legislative Status Summary
This is a binding federal statute enacted by the United States Congress that amends existing federal water pollution and drinking water acts. It contains mandatory language throughout, establishes legal obligations for the Administrator to make grants, and creates enforceable requirements including compliance with Buy America provisions.
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 Deploy and Operate and Monitor stages. It addresses planning, design, construction, implementation, training, and operations of AI-enabled smart water infrastructure systems. The Build and Use Model stage is implicitly covered through references to AI and intelligent optimization tools, while Verify and Validate receives minimal coverage.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems in the context of water infrastructure, specifically referencing 'artificial intelligence and other intelligent optimization tools'. It does not mention AI models as distinct from AI systems, nor does it reference frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on applied AI technologies for water infrastructure optimization.
Document data from AGORA, CSET Emerging Technology Observatory.