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 »
Date: November 8, 2024 (Friday) Speaker: Dr Sean Donahue, Australian National University Chair: Dr Frank Hong, The University of Hong Kong Abstract: Political philosophers have long been concerned with how to avoid state tyranny, the condition of governments having arbitrary power over citizens. A standard response is that avoiding tyranny requires making power holders conform to …
Platform Tyranny, Rule of Law, and Virtual Community Read More »
Date: October 28, 2024 (Monday) Speaker: Prof Carlos Montemayor , San Francisco State University Chair: Dr Frank Hong, The University of Hong Kong Abstract: The two prevailing paradigms of artificial intelligence, based on symbolic systems and neural networks, need further refinements in order to qualify as general artificial intelligence. I will argue that the best way to …
Date: September 17, 2024 (Tuesday) Speaker: Prof David Plunkett , Dartmouth College Chair: Dr Frank Hong, The University of Hong Kong Abstract: Consider the following three familiar philosophical issues: the nature of consciousness; what distributive justice requires; and what constitutes knowledge. These issues – as well as countless others throughout many subareas of philosophy – are …
Date: September 20, 2024 (Friday) Speaker: Dr Adam Bales, University of Oxford Chair: Dr Frank Hong, The University of Hong Kong Abstract: At some future point, AI systems could come to deserve moral consideration, in much the way that humans do now. It will be tempting to design these systems as willing servants, who vacuum, shop, …
Date: October 17, 2024 (Thursday) Speaker: Dr Alice Wong, Chapman University Chair: Dr Frank Hong, The University of Hong Kong Abstract: This talk explores the philosophical implications of simulating algorithms, particularly in the context of artificial intelligence and its relationship to biological cognition. I begin with a brief examination of the nature of simulating (implemented) algorithms, …
Date: June 26, 2024 (Wednesday) Organizers: AIH Lab, Programme on Artificial Intelligence and the Law Keynote Speech Frank Pasquale, Professor of Law, Cornell Tech and Cornell Law School “The Regulation of Simulation in an Era of Generative AI” Chair: Haochen Sun, Professor & Director, Programme on AI and the Law, HKU Faculty of Law Panel 1 Chair: Anna Wu …
Date: April 26, 2024 (Friday) Speaker: Prof Seth Lazar, Australian National University Chair: Dr Frank Hong, The University of Hong Kong Abstract: The recent acceleration in public understanding of AI capabilities has been matched by growing concern—from presidents, industry leaders, scientists, and the wider public—about its potentially catastrophic, even existential risks. But at the same time, …
What, if Anything, Should We Do, Now, About Catastrophic AI Risk? Read More »