Beyond Algorithms: Will AI Challenge What It Means to be Human?(只提供英文版本)

3:00pm - 5:00pm
Academic Building, Room 1104, HKUST

Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標:支持以下联合国可持续发展目标:

(由於活動以英文爲主,故只提供英文版本)

This seminar explores how AI is moving beyond algorithms—from human mimicry to human augmentation—and how the boundary between humans and AI is becoming increasingly blurred. It also discusses future challenges in AI research and embodied intelligence.
 

講者/ 表演者:
Prof. Matthieu J. Guitton
Université Laval

(由於活動以英文爲主,故只提供英文版本)
Matthieu J. Guitton, PhD, FRAI is Full Professor at the Faculty of Medicine and at the Graduate School of International Studies of Université Laval (Quebec City, Canada), Fellow of the Royal Anthropological Institute of Great-Briain, and Senior Researcher at the CERVO Brain Research Center (Quebec City, Canada). He held a Bualuang ASEAN Professor Chair at Thammasat University (Bangkok, Thailand) from 2022 to 2024 and was Secretary of the Faculty of Medicine of Université Laval from 2016 to 2022.

He is Editor-in-Chief of Computers in Human Behavior (the world leading journal in the field of cyberpsychology), Editor-in-Chief of Computers in Human Behavior: Artificial Humans, Editor-in Chief Emeritus of Computes in Human Behavior Reports, and serves on several other editorial boards, such as Acta Psychologica and Current Opinion in Behavioral Sciences. A graduate of the Université de Rouen and of the Université Pierre et Marie Curie - Paris VI, he holds a PhD from the Université de Montpellier (France). He has been Koshland Scholar/Postdoctoral Fellow of Excellence at the Weizmann Institute of Science (Israel). His research interests are centered on the interactions between humans and technology, and he has published over 130 research papers, book chapters, or editorials on topic as diverse as cyberbehavior, artificial humans, biomedical sciences, the impact of technology on international relations, or cultural studies.

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Division of Emerging Interdisciplinary Areas
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