After ‘Consciousness’ Workshop Date: January 27-28, 2026 (Tuesday – Wednesday) Venue: Rm 10.13, Run Run Shaw Tower, Centennial Campus, HKU Co-Organized by: HKU-AIH Lab & Berggruen Institute China Speaker: Professor Andrew Lee, University of Toronto Abstract: I argue that the most promising direction for the future of consciousness research is to follow a path that recurs across the history […]
On the Future of Consciousness Read More »
Date: Novermber 17, 2025 (Mon) Time: 15:00-17:00 Venue: Room 4.36, 4/F, Run Run Shaw Tower, Centennial Campus, HKU Speaker: Professor James Joyce , C. H. Langford Collegiate Professor of Philosophy, University of Michigan Commentors: Professor Jiji Zhang (The Chinese University of HK) Professor Boris Babic (Hong Kong University) Professor Simon Goldstein (Hong Kong University) Professor Kangyu
Prof James Joyce’s Paper Workshop – Causal Decision Theory for Unratifiable Actions Read More »
Date: Novermber 14, 2025 (Friday) Time: 15:30-17:00 Venue: MB142, 1/F, Main Building, HKU Speaker: Professor James Joyce , C. H. Langford Collegiate Professor of Philosophy, University of Michigan Abstract: After introducing the notion of credal accuracy, and explaining why formal epistemologists use strictly proper scoring rules to measure it, I will introduce some well-known accuracy
Can Learning Truths Make your Beliefs Less Accurate? Read More »
Date: April 23-24, 2026 (Thursday – Friday) Time: 10:00am – 5:00pm Venue: Run Run Shaw Tower, Centennial Campus, HKU (Exact room to be confirmed) Speakers: Professor Brian Earp, National University of Singapore
AI Agents and Companions workshop Read More »
Date: January 27-28, 2026 (Tuesday – Wednesday) Time: 10:00am – 17:30pm Venue: Rm 10.13, Run Run Shaw Tower, Centennial Campus, HKU Co-Organized by: HKU-AIH Lab & Berggruen Institute China Keynote Speakers/Titles/Abstracts: Professor Edouard Machery, University of Pittsburgh, Caring and Consciousness Professor Keith Frankish, University of Sheffield, Reactivity as Replacement: Re-Engineering Consciousness for Science and Policy Professor Matti
After ‘Consciousness’ Workshop Read More »
Date: December 5, 2025 (Friday) Time: 15:30-17:00 Venue: Rm 10.13, 10/F, Run Run Shaw Tower, Centennial Campus, HKU Speaker: Prof Ryan M. Nefdt, University of Cape Town Abstract: There is a veritable cornucopia of options for scholars interested in using the tools of philosophy and cognitive science to interpret the behaviour of large language models
Linguistic Relativity, LLMs, and the Hog Thesis Read More »
Date: October 28, 2025 (Tue) Time: 11:00am – 12:00pm Venue: P603 IDS Office, Graduate House, HKU Speaker: Prof Frederick Eberhardt, Professor of Philosophy, California Institute of Technology Moderator: Prof Boris Babic, Dept of Philosophy & Law (by courtesy), HKU Abstract: Causal representations are models of real-world data that retain causal information, so in particular, they provide
Learning Causal Representations Read More »
Date: October 9, 2025 (Thursday) Time: 18:15 – 19:30 Venue: Room 4.36, 4/F, Run Run Shaw Tower, Centennial Campus, HKU Speakers: Professor Boris Babic, Department of Philosophy, HKUProfessor Simon Goldstein , Department of Philosophy, HKUProfessor Maximilian Kiener, Institute for Ethics in Technology, Hamburg University of Technology Professor Brian Wong, Department of Philosophy, HKU Abstract: The top AI labs are
Who’s Afraid of AGI? Read More »
Abstracts Title: LLM – The Split-Brainer That Talks Back Zheng Zhang (Director at Amazon Web Services Shanghai AI Lab, Senior Principal Scientist) Abstract: This talk presents a demystifying journey into Large Language Models (LLMs) through both technical exposition and philosophical inquiry. The first half provides an accessible crash course on LLM fundamentals: how next-token prediction
Date: October 10, 2025 (Friday) Time: 15:30 – 17:00 Venue: Room 10.13, 10/F, Run Run Shaw Tower, Centennial Campus, HKU Speaker: Professor Maximilian Kiener Institute for Ethics in Technology, Hamburg University of Technology Abstract: The scholarly literature presents various approaches to integrating ethical considerations into the development of AI, most prominently the approaches ‘ethics by