Michael Wooldridge 2024 Senior Fellow
Affiliation Ashall Professor, University of Oxford Hard Problem Solved the science and technological limitations and hard problems in current AI that are critical to enabling further breakthrough progress in AI leading to more powerful and useful AI capable of realizing the beneficial and exciting possibilities, including artificial general intelligence (AGI).

Michael Wooldridge is a Professor of Computer Science at the University of Oxford. He has published more than 450 scientific articles, including nine books, translated into seven languages. He is a Fellow of the Association for Computing Machinery (ACM), the Association for the Advancement of AI (AAAI), and the European Association for AI (EurAI), and is a member of Academia Europaea. From 2014-16, he was President of the European Association for AI, and from 2015-17 he was President of the International Joint Conference on AI (IJCAI); he is currently co-editor in chief of “Artificial Intelligence” journal. He has received the Lovelace medal from the British Computer Society (2020), the Patrick Henry Winston Outstanding Educator Award from the Association for Advancement of AI (2021), and the Distinguished Service Award from the European Association for AI (2023). In 2023 he was appointed specialist advisor to the House of Lords inquiry on Large Language Models. He has published two popular science introductions to AI: the Ladybird Expert Guide to AI (2018), and The Road to Conscious Machines (2020). He presented the 2023 Royal Institution Christmas Lectures, broadcast by BBC TV over December 2023, in the 198th year of the series.

AI2050 Project

It is widely expected that the future of AI will involve artificially intelligent “agents” acting on our behalf to achieve goals that we delegate to them. One important dimension of this is that these agents may need to interact with other such agents, when those agents may have conflicting goals. While many theoretical studies of this type of system have been undertaken, the actual impact to date has been marginal. In this work, Michael Wooldridge will bring the power of Large Language Model (LLM) technology to agents, enabling much more powerful agents and many more applications.