Speakers

Geoff Keeling is a Staff Research Scientist and philosopher at Google and a Fellow at the Institute of Philosophy, University of London. He works on the ethical and societal impacts of artificial general intelligence, including questions around AI welfare and consciousness. In 2024, he co-led the Google DeepMind report on the Ethics of Advanced AI Assistants as well as Google's first empirical study on machine sentience. Prior to Google, Geoff was a Research Fellow at Stanford University, where he was affiliated with the Institute for Human-Centered AI and the McCoy Family Center for Ethics in Society. He co-organized the ICLR 2025 Workshop on Human-AI Coevolution.

Herman Cappelen is Chair Professor of Philosophy at the University of Hong Kong, where he co-directs the AI & Humanity Lab and directs the MA in AI, Ethics, and Society. Previously, he held positions at the University of St Andrews (Arché Chair), the University of Oslo (co-director of CSMN's ConceptLab), Somerville College Oxford, and Vassar College. He is a member of the Norwegian Academy of Science and Letters, the Academia Europaea, and a 2025–2026 Berggruen Institute China Fellow. His research spans the philosophy of language, conceptual engineering, and the philosophy of AI. His recent books with Josh Dever include Making AI Intelligible: Philosophical Perspectives and the forthcoming Going Whole Hog: A Philosophical Defense of AI Cognition, which argues for a full-blooded attribution of cognitive capacities to large language models.

Been Kim is a Senior Staff Research Scientist at Google DeepMind, dedicated to fostering effective communication and collaboration between humans and complex machine learning models. Her research aims to harness machine intelligence for human benefit. Notably, her recent work in teaching superhuman chess concepts to grandmasters contributed to one of them becoming the youngest World Chess Champion (Gukesh). Dr. Kim has given talks at the G20 meeting in Argentina (2019) and keynotes at ICLR (2022) and ECML (2020). Her influential work TCAV was recognized with the UNESCO Netexplo award and featured at Google I/O '19. She is the General Chair for ICLR 2024, was Senior Program Chair for ICLR 2023, and has extensive experience as a Senior Area Chair at NeurIPS, ICML, ICLR, and AISTATS. She earned her PhD from MIT.

Vincent C. Müller is Alexander von Humboldt Professor for Philosophy and Ethics of AI and Director of the Centre for Philosophy and AI Research (PAIR) at FAU Erlangen-Nürnberg, as well as Visiting Professor at TU Eindhoven, President of the European Society for Cognitive Systems, Chair of the Society for the Philosophy of Artificial Intelligence, and Chair of the euRobotics topics group on 'ethical, legal and socio-economic issues'. Müller works mainly on philosophical problems connected to artificial intelligence, both in ethics and in theoretical philosophy. He organizes the conference series on the Philosophy of AI (PhAI) and co-edits the journal Philosophy of AI.

Daniel Rothschild is Professor of Philosophy of Language at UCL. Previously, Rothschild held faculty positions at Columbia University, Yale University, and All Souls College, Oxford. Rothschild's work focuses on language, epistemology and their interaction, and is known for his significant contributions to epistemology and the philosophy of language. Recently, Rothschild has written on the implications of large language models for philosophy of mind and he is currently working on a book about the relationship between machine learning and human learning. He has delivered numerous keynotes at major philosophy and linguistics conferences, including the inaugural conference of the Philosophy of Language Association.

Yilun Du is an Assistant Professor at Harvard in the Kempner Institute and Computer Science. He was previously a Senior Research Scientist at Google DeepMind and received his PhD from MIT. His research focuses on generative models, decision making, robot learning, embodied agents, and applications to scientific domains. His research is driven by the goal of developing intelligent embodied agents in the physical world, primarily focusing on building world models using generative AI to enable systematic planning and iterative reasoning. His work has yielded both significant technical contributions (including the development of diffusion models) and advanced foundational understanding of world models across visual generation, scene understanding, and decision-making.

Raphaël Millière is Associate Professor of Philosophy and Fellow of Jesus College at the University of Oxford. He is an AI2050 Fellow (Schmidt Sciences) and an Australian Research Council DECRA Fellow. Previously, Millière was the Robert A. Burt Presidential Scholar at Columbia University and earned his PhD from the University of Oxford. His research focuses on foundational questions regarding the capacities and limitations of modern deep neural networks, particularly language models, addressing both first-order questions about whether these systems exhibit specific cognitive capacities and second-order methodological challenges involved in evaluating them. His work has been featured in CNN, The Atlantic, and Wired.