Discover what large language models like ChatGPT can — and can’t — do. This session offers a clear, research-informed introduction to AI capabilities and limitations with a critical lens on how these technologies influence learning, productivity and researcher wellbeing.

Facilitator

Prof Andrew Perfors

Andrew Perfors is the Director of the Complex Human Data Hub in the School of Psychological Sciences at The University of Melbourne.

He uses computational models of the mind, in combination with behavioural experiments, to study human cognition: how we acquire and use concepts and language, how we make decisions, how we learn from and share information with each other, and how that process of collaborative meaning-making changes the information environment itself. Andy has many thoughts about AI, from a the perspective of computational cognitive science (what it can and can't do, and how it is similar to and different from human minds) and somebody who studies information systems (what are its impacts on science and society, and what we can do to navigate this territory).

Contact the host of Beyond the Hype: What AI Really Means for Research and Education