Past Event

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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A Network Account of Trustworthy AI: A New Framework

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 …

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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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