We are pleased to share a new publication developed in collaboration with colleagues from the University of Cambridge, the Environment Agency, and several UK partners.

This perspective explores the potential of artificial intelligence (AI) to support water quality management and regulation, addressing increasingly complex challenges driven by climate change, pollution, and evolving regulatory demands.

The study proposes a system-oriented framework to understand how AI can contribute to key regulatory functions, including monitoring, prediction, decision support, and public communication. While AI shows strong potential in data analysis, modeling, and operational efficiency, the paper highlights critical gaps related to trust, explainability, and alignment with real-world decision-making processes.

Looking ahead, the work emphasizes the importance of AI-ready data, institutional frameworks, and interdisciplinary collaboration to unlock the full potential of AI for water quality.

The paper is available here: https://pubs.acs.org/doi/full/10.1021/acs.est.5c15991