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, […]
Against Willing AI Servitude Read More »
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,
What happens when you simulate an algorithm? Read More »
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
Charting New Frontiers in AI and Society Read More »
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 »
Date: April 5, 2024 (Friday) Speaker: Dr Kate Vredenburgh, London School of Economics Chair: Dr Frank Hong, The University of Hong Kong Abstract: Proponents of algorithmic decision-making have argued that the use of algorithms can reduce discrimination, against the baseline of human decision-making. One reason is the greater explainability of the models, or the ability to
The Limits of Explainability for Reducing Algorithmic Discrimination Read More »
Date & Time: Mar 1, 2024 (Fri), 4:00 – 6:30 pmMar 2, 2024 (Sat), 9:30 am – 6:30 pm Programme Rundown: here AI, Music, and Creativity: At a Crossroads is an international symposium jointly hosted by the HKU Department of Music and the AI & Humanity Lab at the Department of Philosophy. This event is a
AI, Music, and Creativity: International Symposium & 2023/24 Rayson Huang Lectures Read More »
Date: February 20, 2024 (Tuesday) Speaker: Prof William Lucy, Durham University Law School Chair: Prof Scott Veitch, The University of Hong Kong
Law, Technological Management and the Future of Agency Read More »
Date: March 8, 2024 (Friday) Speaker: Prof Song Fei, Lingnan University Chair: Dr Frank Hong, The University of Hong Kong Abstract: In the literature on trustworthy AI, there are two main positions. The first view is in order to illuminating trustworthy AI, we need a general account of trust and trustworthiness, which is less anthropocentric. Because
A Network Account of Trustworthy AI: A New Framework Read More »
Date: March 13, 2024 (Wednesday) Speaker: Dr Gabbrielle Johnson, Claremont McKenna College Chair: Dr Frank Hong, The University of Hong Kong Abstract: This paper concerns the Proxy Problem: often machine learning programs utilize seemingly innocuous features as proxies for socially-sensitive attributes, posing various challenges for the creation of ethical algorithms. I argue
The Hard Proxy Problem: Proxies aren’t intentional, they’re intentional Read More »
Date: December 16, 2023 Organizers: AI & Humanity Lab, Program on Artificial Intelligence and the Law Website: here
Reframing Intellectual Property Law in the Age of Artificial Intelligence Conference Read More »