Erica Fung

April 26-27, 2025 – Workshop in Philosophy & AI at Peking University

  The Peking University, Beijing Normal University and The University of Hong Kong has jointly organised a workshop on Philosophy and AI, funded by the Research Funds for Excellent Interdisciplinary Research Groups at Beijing Normal University. Dates: April 26-27, 2025Venue: Berggruen Institute China Center, No. 54 Yannan Garden, Peking University, Beijing Host Department of Philosophy

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We are hiring! Post-doctoral Fellow needed for the AI & Humanities Lab

We are currently recruiting a Post-doctoral Fellow to join us under the AI & Humanities Lab, specific requirement are as follows.  Should you be interested, please apply through the HKU’s system. Work type : Full-time Department : School of Humanities (05200) Categories : Senior Research Staff & Post-doctoral Fellow The School of Humanities at the

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June 30 –July 4, 2025 – University of London in Paris (ULIP)

Join us for the Philosophy of AI Summer School – Paris 2025, co-hosted by the University of Hong Kong Philosophy Department in collaboration with the University of London in Paris (ULIP). Taking place from June 30 to July 4, this event promises a valuable experience at the intersection of philosophy and artificial intelligence. The program

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Artificial intelligence and destabilized moral concepts

Date: April 11, 2025 (Friday) Speaker: Professor Regina Rini Associate Professor Canada Research Chair in Philosophy of Moral and Social Cognition Department of Philosophy, York University PhD, New York University, 2011 B.A., Georgetown University, 2004 Canada Research Chair in Social and Moral Cognition and Associate Professor of Philosophy. Research background in moral psychology, ethical theory,

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What’s hidden inside predictively successful deep learning models?

Abstract: In recent work, I argued that there is an AI-specific no miracles argument (NMA) which is at least as plausible as the traditional NMA. In this talk, I will express two doubts about this claim, relative to the AI-specific NMA that I previously proposed. I will then develop a new AI-specific NMA in response,

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Transparency of What?

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

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Digital Doppelgangers, Moral Deskilling, and the Fragmented Identity: A Confucian Critique

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

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Recurrence, Rational Choice, and the Simulation Hypothesis (co-authored with Simon Goldstein)

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

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Algebraic and Geometrical Structures of Concepts

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

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