Chat GPT and Other Creative Rivals
The Institute of Philosophy at the University of London and the AI&Humanity-Lab at Hong Kong University are pleased to announce a two-day conference on the philosophical issues surrounding large language models (LLMs) such as ChatGPT.
LLMs are a new type of artificial intelligence that are able to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. They are trained on massive datasets of text and code, and they are still under development, but they have already learned to perform many kinds of tasks that were once thought to be the exclusive domain of humans.
The conference will bring together leading experts from academia and industry to discuss a range of philosophical issues surrounding LLMs, including:
•The nature of intelligence: Are LLMs intelligent? If so, what kind of intelligence do they have?
•The ethics of LLMs: What are the ethical implications of using LLMs? How can we ensure that they are used for good and not for harm?
•The future of LLMs: What are the potential benefits and risks of LLMs? How will they shape our world in the future?
The conference will be of interest to philosophers, computer scientists, policy makers, and anyone interested in the future of artificial intelligence.
This conference will take place at Senate House and will also be streamed online via Zoom. If you would like to join remotely please sign up using the link above. You will be sent the zoom infomation via email once you complete the registration process.
This event is co-organised by the Institute of Philosophy, SAS and the AI&Humanity-Lab at Hong Kong University.
Catherine Clark (SAS)
Rosa Cao (Stanford)
Nigel Shadbolt (Oxford)
Josh Dever (Texas)
Herman Cappelen (Hong Kong)
Murray Shanahan (Imperial College & Deepmind)
David Papineau (Kings College London)
Anandi Hattiangadi (Stockholm)
Jackie Kay (Deepmind)
Geoffrey Hinton (Toronto)
Gary Marcus (NYU)
Ryan Born (University of Texas at Austin)
William Chan (Southampton)
Karen Lancaster (Nottingham)
Day 1 – May 31
9.30 Coffee & Welcome
10:00 – 11.15 Nigel Shadbolt (Oxford) - From So Simple a Beginning: Understanding Large Language Models
11.15 – 12.30 Rosa Cao (Stanford) - Do language models think and talk like we do?
12.30 -13.30 Lunch
13.30 – 14.45 Anandi Hattiangadi (Stockholm) - Can Large Language Models Understand Natural Language?
14.45. – 15.00 Coffee
15.00 – 16.15 Murray Shanahan (Imperial College and Deepmind) - Role-play with Large Language Models
16.15 – 17.30 Geoffrey Hinton (Toronto) - Qualia are the phlogiston of cognitive science
17:45 - 19:00 Keynote: Gary Marcus (NYU) - Title TBC. (Presenting virtually)
Day 2 - 1st June
10:00 – 11.15 Josh Dever (Texas) and Herman Cappelen (Hong Kong) - ChatGPT Has Beliefs: Methodology and Arguments
11.15 – 12.45 Postdoc session
Ryan Born (University of Texas at Austin) - Originality, Forgery, and Irreplaceability: AI-rtists and their limits
Karen Lancaster (Nottingham) - “That’s exactly what they would have said!” Why AI should not be used to generate real people’s putative statements without their consent
William Chan (Southampton) - Powerful Chatbots and Liberal Education
12.45 – 13.45 Lunch
13.45 – 15.00 Catherine Clarke (SAS) - Absences, Ghosts, Ethics: Using AI to Re-Visit Gaps in the Historical Archive
15.00 – 15.15 Coffee
15.15 – 16.30 Jackie Kay (Deepmind) - Embodiment, Intelligence, and the Alien Creativity of Large Generative Models
16:30 - 17:45 David Papineau (King's College London) - The Coming Moral Crisis and What We Might Do About It