Water Quality and Environmental Innovation Act

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.

  • Authority: United States Congress
  • Parent authority: Federal government
  • Jurisdiction: United States
  • Collections: U.S. federal laws
  • Most recent activity: Defunct
  • Most recent activity date: 2025-01-03

Risk subdomain coverage

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

  • Governance failure

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.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

  • Trade, Transportation & Utilities
  • Scientific Research & Development Services
  • Public Administration (excl. National Security)

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

  • Educational Services

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.

Legislative Status

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.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Summary: The document is a Congressional bill introduced by named Representatives. The header clearly identifies the proposers as members of the House of Representatives who introduced the legislation.

Target

  • Entity Types: AI_Developer
  • Summary: The document explicitly identifies eligible entities that may receive grants and contracts for AI and emerging technology projects addressing water quality. These include educational institutions, nonprofits, and private companies engaged in research, development, or deployment of emerging technologies.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Summary: The EPA Administrator is granted explicit authority to award grants and contracts, administer the fund, and ensure compliance with requirements such as public data accessibility. The Administrator has discretionary power over grant awards and oversight responsibilities.

Monitor

  • Entity Types: AI_Governance_Actor
  • Summary: The EPA Administrator is required to submit annual reports to multiple Congressional committees describing project outcomes, effectiveness, and benefits. This creates a monitoring framework with both executive (EPA) and legislative (Congressional committees) oversight.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

  • Plan and Design
  • Collect and Process Data
  • Build and Use Model
  • Verify and Validate
  • Deploy
  • Operate and Monitor

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.

Technical Scope

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.

https://www.congress.gov/bill/118th-congress/house-bill/873
https://agora.eto.tech/instrument/443
Explore in the Document View

Document data from AGORA, CSET Emerging Technology Observatory.