Past Event

Strategic Determinism: the Limitations of Governments in Shaping AI Development

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 […]

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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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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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