This talk explains some technical aspects of Generative AI Large Language Models such as ChatGPT to a non-technical audience. This elementary technical knowledge will allow you to form an opinion on whether ChatGPT ‘understands’ anything, whether it plagiarises, and how reliable it is. I will also show that AI is cyclical, and that boom is sometimes followed by bust. We will look at the large players in the US and in China. Finally we will consider the notion of originality in a post-ChatGPT world and how we will need to revise our standards for what is original in research as well as in student work. Just as calculators have changed the way we calculate, Large Language Models will change the way we write. But will they change the way we think?
About the Speaker
Philippe De Wilde is Professor of Artificial Intelligence in the Division of Natural Sciences at the University of Kent, United Kingdom. He promotes the use of artificial intelligence and machine learning in Biosciences, Medical Science, and Physics. He works in the context of digital humanism on transparent and humane AI.
Between 2014 and 2020, Prof. De Wilde was Deputy Vice-Chancellor (Vice-President) for Research & Innovation at the University of Kent. Between 2007 and 2014, he was Head of the School of Mathematical and Computer Sciences, Heriot-Watt University, with campuses in Edinburgh, Dubai, and Malaysia. He obtained the PhD degree in quantum mechanics and the MSc degree in computer science in 1985 from Ghent University, Belgium. He was Lecturer and Senior Lecturer in the Department of Electrical Engineering, Imperial College London, between 1989 and 2005. Before 1989 he worked in Belgium at KU Leuven in information theory and IMEC, also in Leuven, on microelectronics.
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