anna

Epistemic opportunities: AI Systems as Cognitive Scaffolding

Date: December 7, 2024 (Saturday) Speaker: Dr Karina Vold, University of Toronto Chair: Dr Frank Hong, The University of Hong Kong Organizers: AIH Lab and IDEAS-IDS Abstract: Artificial intelligence (AI) systems are increasingly able to outperform humans at specific tasks, such as beating world champions at Go and solving 50-year-old grand challenges in biology. I argue that humans can …

Epistemic opportunities: AI Systems as Cognitive Scaffolding Read More »

Philosophy of AI in Asia Workshop

Date: March 26-27, 2025 (Wednesday, Thursday) Time: 09:30 – 16:30 (Programme rundown will be provided later) Venue: 11/F, Cheng Yu Tung Tower, HKU Registration: here Dr Frank Hong, The University of Hong Kong Prof Darrell Rowbottom, Lingnan University Prof Jiji Zhang, The Chinese University of Hong Kong Dr Pak-Hang Wong, Hong Kong Baptist University Dr Jun Otsuka, Kyoto University …

Philosophy of AI in Asia Workshop Read More »

What remains of the singularity hypothesis?

Abstract: The idea that advances in the cognitive capacities of foundation models like LLMs will lead to a period of rapid, recursive self-improvement — an “intelligence explosion” or “technological singularity” — has recently come under sustained criticism by academic philosophers. I evaluate the extent to which this criticism successfully undermines the argument for a singularity, …

What remains of the singularity hypothesis? Read More »

Evaluating LLM Ethical Competence

Abstract: Existing approaches to evaluating LLM ethical competence place too much emphasis on the verdicts—of permissibility and impermissibility—that they render. But ethical competence doesn’t consist in one’s judgments conforming to those of a cohort of crowdworkers. It consists in being able to identify morally relevant features, prioritise among them, associate them with reasons and weave …

Evaluating LLM Ethical Competence Read More »

Why ChatGPT Doesn’t Think: An Argument from Rationality (Co-authored with Zhihe Vincent Zhang, ANU)

Abstract: Can AI systems such as ChatGPT think? This paper presents an argument from rationality for the negative answer to this question. The argument is founded on two central ideas. The first is that if ChatGPT thinks, it is not rational, in the sense that it does not respond correctly to its evidence. The second …

Why ChatGPT Doesn’t Think: An Argument from Rationality (Co-authored with Zhihe Vincent Zhang, ANU) Read More »

Illusions of Understanding in Deep Learning

Date: November 15, 2024 (Friday) Speaker: Dr Raphael Milliere, Macquarie University in Sydney Chair: Dr Frank Hong, The University of Hong Kong Abstract: Recent advancements in artificial intelligence have been largely driven by deep learning. However, deep neural networks (DNNs) are often characterized as inscrutable “black boxes”: while we can study their performance on various tasks, we …

Illusions of Understanding in Deep Learning Read More »

The Linguistic and Cognitive Capacities of LLMs

Date: December 9-10, 2024 (Monday, Tuesday) Organizers: AIH Lab and IDEAS-IDS Alien Contents and Alien Metasemantics (with Prof Joshua Dever) Prof Herman Cappelen, The University of Hong Kong Prof Joshua Dever, The University of Texas at Austin Aliens, Octopuses, and Robots, Again Prof Lawrence Shapiro, University of Wisconsin-Madison Aliens, Octopuses, and Robots, Again Prof Thomas Polger, University of …

The Linguistic and Cognitive Capacities of LLMs Read More »

Scroll to Top