Past Event

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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The Hard Proxy Problem: Proxies aren’t intentional, they’re intentional

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

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