Rate My Professor Luc Moreau

Moreau’s research interests center on data provenance, explainable artificial intelligence, trust in multi-agent systems, and trustworthy autonomous systems. As Principal Investigator, he led major EPSRC-funded initiatives at King’s, including the Trusted Autonomous Systems Hub (2020–2024), SAIS: Secure AI assistantS (2020–2023), PLEAD: Provenance-driven and Legally-grounded Explanations for Automated Decisions (2019–2022), and Provenance-based Explanations for Automated Decision Making (2019). He served as Co-Investigator on Trust in Human-Machine Partnership (2018–2022). Notable publications include “The foundations for provenance on the web” (Foundations and Trends® in Web Science, 2010; 378 citations), “The provenance of electronic data” (Communications of the ACM, 2009), “A typology of explanations to support Explainability-by-Design” (Journal on Responsible Computing, 2025), “Rethinking Explainable AI: Explanations can be Deceiving” (2025), “On Specifying for Trustworthiness” (Communications of the ACM, 2023), and “Formal Specification of Actual Trust in Multiagent Systems” (2024). His pioneering provenance research co-chaired the W3C Provenance Working Group, developed the Open Provenance Model, and influenced regulatory guidance on AI explanations. Moreau is a Fellow of the British Computer Society and Institution of Engineering and Technology. He has edited Concurrency and Computation: Practice and Experience and served as associate editor for ACM Transactions on Internet Technology.