Alan Chan is a Research Fellow and Research Scholar at the Centre for the Governance of AI, starting in October 2023. Previously, Alan was a PhD student at Mila - Quebec Artificial Intelligence Institute from September 2020 to November 2024 and a Visiting PhD Student at the University of Cambridge, working with David Krueger on language model evaluations and safety coordination from October 2022 to May 2023. In the summer of 2022, Alan served as a Summer Research Fellow at the Center on Long-Term Risk, focusing on the cooperativeness of language models. Alan's earlier experience includes a role as a Research Student at the University of Alberta from May 2015 to September 2020 and an internship as a Research Scientist at Huawei Technologies Canada from May 2019 to January 2020, researching reinforcement learning. Alan holds a Doctor of Philosophy in Computer Science from Université de Montréal, an MSc in Statistical Machine Learning from the University of Alberta, and a BSc with Honors in Mathematics from the University of Alberta.
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Centre for the Governance of AI (GovAI)
We are building a global research community, dedicated to helping humanity navigate the transition to a world with advanced AI. AI has the potential to be a radically transformative technology. Continued progress could bring profoundly important benefits, including major scientific advances and reductions in illness and poverty. However, this progress could also bring substantial risks. Research is urgently needed to understand the implications of advanced AI. Ultimately, we believe, positive outcomes may require the development of new global norms, policies, and institutions. Our research community is guided by our Research Agenda and Theory of Impact, drawing on Political Science, Computer Science, Economics, Law, and Philosophy. Our work aims to define and map the field of AI governance, and address the most important and neglected research questions. Our fellowships and prizes support promising early-career researchers working on AI governance. We run seminars and conferences to better connect the field of AI governance and build a thriving global research community. You can read more about our work at www.governance.ai