Joy of Coding Logo
Joy of Coding
June 21, 2024 - De Doelen, Rotterdam

Why AI Lies, and do we care?

Few innovations have taken over our lives quite like the recent surge in AI. Everyone from startups to experienced industry veterans are busy trying to incorporate large language models into their workflows. In academia, we’re all scrambling to work out if AI will fix all our problems, or simply let the students cheat! Using these models to obtain reliable results isn’t as easy as we think: They’re capable of impressive writing, but also of lying about almost everything. In this talk I’ll explain how these models work and how they are trained. We’ll look at how the way they are trained means they will frequently make up or embellish facts, and how it’s difficult to control when they will or won’t do this. For industry practitioners, we’ll talk about whether we even mind that this happens. Perhaps we can use these models with care, even if they sometimes misbehave.

Michael Pound

Michael Pound is an Associate Professor of Computer Science at the University of Nottingham, UK. His research focuses on the development and application of computer vision approaches, often to biological images. He has been involved in interdisciplinary research across a variety of domains, ranging from plant and medical imaging, through to engineering and physics. Outside of research, he is passionate about education in computer science. He is a regular contributor to the YouTube channel Computerphile, where his videos on subjects including AI and machine learning have accumulated over 55 million views.