Alan Chan

Alan Chan is a Research Fellow at the Centre for the Governance of AI (GovAI) in London, where he focuses on AI agent governance, transparency, and technical AI governance more broadly. He completed his PhD in Computer Science at Université de Montréal / Mila (Quebec AI Institute) in 2024, advised by Nicolas Le Roux and David Krueger, and holds an MSc and BSc from the University of Alberta. During his doctoral work, he conducted a research visit with David Krueger at Cambridge focused on evaluating non-myopia in language models and RLHF systems, work motivated by the view that non-myopia is a precursor to dangerous emergent properties like deceptive alignment. His research spans development alignment evaluations (cooperativeness, corrigibility), capability evaluations (non-myopia, deception), AI agent infrastructure and governance, model transparency, and incident analysis for autonomous systems. He has also been affiliated with the Bennett School of Public Policy at the University of Cambridge as a visiting researcher.

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