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 use these extraordinary performances to access new epistemic insights, thereby aiding our own learning and knowledge discovery. I draw on a range of fields including philosophy, psychology, and machine learning research, to show how this might be done. I end by considering some of the ethical and technical challenges that this approach will encounter.
