Host: HKU Musketeers Foundation Institute of Data Science
Co-host: AI & Humanity Lab, Department of Philosophy, HKU
IDS Interdisciplinary Seminar - by Professor Herman Cappelen
School of Humanities, The University of Hong Kong
Mode: Hybrid. Seats for on-site participants are limited. A confirmation email will be sent to participants who have successfully registered.
There’s broad agreement that the rapid development of artificial intelligence raises fundamental and existential challenges for humanity. This talk outlines the ways in which this development also raises challenging philosophical questions, why those questions matter, and how computer scientists and philosophers can collaborate on solving them.
Prof. Cappelen is Chair Professor to the Department of Philosophy at the University of Hong Kong and the Director of AI&Humanity-Lab@HKU. He is also serving in the Steering Committee of the HKU Musketeers Foundation Institute of Data Science.
Before coming to HKU, he was on the faculty at the University of Oxford, the University of St Andrews and the University of Oslo. Cappelen is the author of 10 monographs and over 50 papers, covering many areas of philosophy. Cappelen and Josh Dever wrote the first philosophy book on explainable and interpretable AI: Making AI Intelligible: Philosophical Perspectives (Oxford University Press 2021). With Rachel Sterken (HKU), he is the editor of Communicating with AI: Philosophical Perspectives (forthcoming Oxford University Press 2023). Cappelen and Dever’s new book in progress is called: In Defence of Artificial Intelligences: An Essay in Inhuman Philosophy. Cappelen is an elected member of Academia Europaea and the Norwegian Academy of Arts and Sciences.
For Prof. Herman’s full biography, please browse: https://datascience.hku.hk/professor-cappelen-herman/
Dr. Janet Hsiao is an associate professor in the Department of Psychology and a principal investigator of the State Key Laboratory of Brain and Cognitive Sciences at University of Hong Kong. She received her Ph.D. in Informatics from University of Edinburgh and was a postdoctoral researcher in the Temporal Dynamics of Learning Center at University of California San Diego. She is also serving in the Steering Committee of the HKU Musketeers Foundation Institute of Data Science.
As a cognitive scientist, she is best known for her research on learning and visual cognition. She investigates universal principles and specific factors that modulate development of perceptual representations and information processing strategies during learning and expertise acquisition such as face recognition, reading, and object detection and identification. She adopts an interdisciplinary approach, using a variety of methods and techniques from artificial intelligence, experimental psychology, psycholinguistics, and cognitive neuroscience to study the human mind at different levels of analysis and organization. Her unique interdisciplinary approach has deepened and broadened our understanding of individual differences in learning and visual cognition and how they connect to cognitive performance and disorders.
For Dr. Hsiao’s full biography, please browse: https://datascience.hku.hk/dr-hsiao-janet/
For information, please contact: