Past Event

Updated on 2 June 2025  Date: 30 Jun – 4 Jul 2025 Venue: The University of London in Paris (ULIP) Hosted by the Institute of Philosophy, University of London, School of Advanced Study and the AI & Humanity Lab of The University of Hong Kong. The Philosophy of AI Summer School offers an intensive, 5-day program led

Date: 30 January 2026 (Friday) Time: 10:00am – 11:30am Venue: Room 4.36, 4/F, Run Run Shaw Tower, Centennial Campus, HKU Speakers: Prof Mark Coeckelbergh, Philosophy, University of Vienna Abstract: Democracy theories assume that citizens have some form of political knowledge. But apart from widespread attention to the phenomenon of fake news and misinformation, less attention has been

Updated on 2 June 2025  Date: 26-27 Jun 2025 Venue: The University of London The Department of Philosophy of The University of Hong Kong together with the Institute of Philosophy of the University of London will jointly organise Conference on LLMs and externalism in London.  It will be held from 26th to 27thJune 2025 at

Abstract: Despite its importance, the concept of algorithmic transparency has yet to be fully explicated. By asking what is transparent or opaque, we propose a comprehensive framework dividing transparency into four forms: use transparency, which discloses algorithm goals and uses; data transparency, which informs sources, processing, and data quality; model transparency, which explains how the

Abstract: Artificial intelligence (AI) systems are increasingly capable of learning from and mimicking individuals, as demonstrated by a fairly successful effort to replicate the attitudes and behaviors of individuals by generative AI with a 2-hour interview (see, Park et al. 2024). This technical advancement has afforded the creation of increasingly indistinguishable (online, digital) doubles of

Abstract: According to the doctrine of recurrence, we are reborn after our apparent death to live our life again. This paper develops a new  doctrine of recurrence. We make three main claims. First, we argue that  the simulation hypothesis increases the chance that we will recur. Second, we argue that the chance of recurrence affects

Abstract: Deep neural networks are known to construct internal representations to process and generalize information. Understanding the structure of these representations is crucial not only for improving machine learning models but also for aligning them with human cognitive representations—namely, the concepts we use in everyday reasoning and scientific inquiry. This study examines how mathematical frameworks

Abstract: While it is well-known that AI systems might bring about unfair social impacts by influencing social schemas, much attention has been paid to instances where the content presented by AI systems explicitly demeans marginalized groups or reinforces problematic stereotypes. This paper urges critical scrutiny to be paid to instances that shape social schemas through subtler manners. Drawing from

Date: March 5-6, 2025 (Wednesday, Thursday) Organizer: AIH Lab   Desire homuncularism – Agency, ethical standing, and skin in the game Prof Steve Petersen,  Niagara University AI Zombies: Global Workspace Theory and Resource-Rational Analysis Prof Justin Tiehen,  University of Puget Sound It probably doesn’t matter whether software can be made sentient Dr Andreas Mogensen, University of Oxford

Date: February 7, 2025 (Friday) Speaker: Ms Ninell Oldenburg, University of Copenhagen Chair: Dr Frank Hong, The University of Hong Kong Abstract: While most technical and philosophical research on LLMs tries to find a translation from human functions to computational principles, understanding the flip side — how computational principles translate into natural ones — is often overlooked.