Past Event

Platform Tyranny, Rule of Law, and Virtual Community

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 …

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Two Models of General Artificial Intelligence

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 …

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Continuity, Realism, and the Objects of Philosophical Inquiry (co-authored with Tristram McPherson)

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 …

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Against Willing AI Servitude

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, …

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What happens when you simulate an algorithm?

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, …

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What, if Anything, Should We Do, Now, About Catastrophic AI Risk?

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, …

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The Limits of Explainability for Reducing Algorithmic Discrimination

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 …

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AI, Music, and Creativity: International Symposium & 2023/24 Rayson Huang Lectures

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 …

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