[https://docs.google.com/presentation/d/1ymMaOyKtuEzi3A-QBg8F7DmeUdj-Jl1T/edit?usp=sharing&ouid=100090609942785485941&rtpof=true&sd=true](https://docs.google.com/presentation/d/1ymMaOyKtuEzi3A-QBg8F7DmeUdj-Jl1T/preview?usp=sharing&ouid=100090609942785485941&rtpof=true&sd=true)
This talk will present our latest research on trustworthy AI. It will cover the risk of shortcut learning in legal outcome prediction, the principles applying to the use of prediction tools in court and the responsible curation of legal datasets.
Felix Steffek is Professor of Law at the University of Cambridge and Professorial Fellow (Privileges) at Newnham College. He serves as Deputy Chair of the Faculty of Law and Co-Director of the Centre for Corporate and Commercial Law (3CL). He is Global Distinguished Professor of Law at the University of Notre Dame, Research Member of the European Corporate Governance Institute (ECGI), Principal Legal AI Advisor at Thomson Reuters and Associate Director of the TR Imperial Frontier AI Lab.
His research interests cover corporate finance and insolvency law, artificial intelligence, dispute resolution and commercial law. He has advised international organisations, governments, parliaments, courts and startups in these areas. He serves on the Board of Cambridge University Press & Assessment. Felix Steffek is leading multiple research projects on artificial intelligence and law, among them the Nuffield Foundation funded project on ‘Access to Justice Through Artificial Intelligence’ and the EPSRC funded project on ‘Neuro-Symbolic Debates for Safeguarded Generative AI’.