Date: February 7, 2025 (Friday) Speaker: Ms Ninell Oldenburg, University of Copenhagen Chair: Dr Frank Hong, The University of Hong Kong Abstract: While most technical and philosophical research on LLMs tries to find a translation from human functions to computational principles, understanding the flip side — how computational principles translate into natural ones — is often overlooked. …
Date: February 21, 2025 (Friday) Speaker: Dr Leonard Dung, Ruhr-University Bochum Chair: Dr Frank Hong, The University of Hong Kong Abstract: Does consciousness require biology or can systems made out of other materials be conscious? I develop an argument for the view that it is (nomologically) possible that some non-biological creatures are conscious, including conventional, silicon-based AI …
Date: January 17, 2025 (Friday) Time: 13:00 – 18:00 Organizers: AIH Lab and Hong Kong Ethics Lab Prof Seth Lazar, Australian National University Agent Advocates: Some Questions and Issues Prof Nikolaj Jang Lee Linding Pedersen, Yonsei University AI Personhood: A Cost-sensitive Analysis Dr Yiwen Zhan, Beijing Normal University Steering Towards Utopia: The Importance of the Medium Term in AI …
Date: February 14, 2025 (Friday) Organizers: AIH Lab, Programme on Artificial Intelligence and the Law and Hong Kong Ethics Lab A Matter of Principle? AI alignment as the Fair Treatment of Claims (co-authored with Geoffrey Keeling) Iason Gabriel, Staff Research Scientist, Google Deepmind Evaluating AI Agents for Dangerous (Cognitive) Capabilities Geoffrey Keeling, Senior Research Scientist, Google The Fair Treatment of …
Date: November 22, 2024 (Friday) Speaker: Ms Sarah Jeong, Journalist Chair: Dr Frank Hong, The University of Hong Kong Abstract: Generative AI is now a ubiquitous feature of consumer electronics, incorporated even into smartphone photography. As photographs and other forms of media become trivially easy to doctor, the social consensus around what documentary evidence is …
Date: December 4, 2024 (Wednesday) Speaker: Dr Henry Shevlin, University of Cambridge Chair: Dr Frank Hong, The University of Hong Kong Organizers: AIH Lab and IDEAS-IDS Abstract: Recent rapid progress in artificial intelligence has prompted renewed interest in the possibility of consciousness in artificial systems. This talk argues that this question forces us to confront troubling methodological challenges …
Date: December 7, 2024 (Saturday) Speaker: Dr Karina Vold, University of Toronto Chair: Dr Frank Hong, The University of Hong Kong Organizers: AIH Lab and IDEAS-IDS Abstract: Artificial intelligence (AI) systems are increasingly able to outperform humans at specific tasks, such as beating world champions at Go and solving 50-year-old grand challenges in biology. I argue that humans can …
Epistemic opportunities: AI Systems as Cognitive Scaffolding Read More »
Date: November 15, 2024 (Friday) Speaker: Dr Raphael Milliere, Macquarie University in Sydney Chair: Dr Frank Hong, The University of Hong Kong Abstract: Recent advancements in artificial intelligence have been largely driven by deep learning. However, deep neural networks (DNNs) are often characterized as inscrutable “black boxes”: while we can study their performance on various tasks, we …
Date: December 9-10, 2024 (Monday, Tuesday) Organizers: AIH Lab and IDEAS-IDS Alien Contents and Alien Metasemantics (with Prof Joshua Dever) Prof Herman Cappelen, The University of Hong Kong Prof Joshua Dever, The University of Texas at Austin Aliens, Octopuses, and Robots, Again Prof Lawrence Shapiro, University of Wisconsin-Madison Aliens, Octopuses, and Robots, Again Prof Thomas Polger, University of …
Date: November 1, 2024 (Friday) Speaker: Michael Frank, Founder and CEO, Seldon Strategies and 2430 Fellow, 2430 Group Chair: Dr Frank Hong, The University of Hong Kong Abstract: In the artificial intelligence era, national governments are going to great lengths to support their domestic AI ecosystems. But how much can governments actually achieve? In this talk, titled “Strategic …
Strategic Determinism: the Limitations of Governments in Shaping AI Development Read More »