I study how AI affects legal concepts like fairness, privacy, and responsibility, and how law should govern the new harms AI creates through inference, prediction, and profiling. I also advise governments and industry on AI governance and data protection. My last book, The Privacy Fallacy (Cambridge University Press 2023), asks when entities should be held accountable for the harms their data practices create. I am currently working on Plausible (also Cambridge University Press), which asks how we should govern AI systems whose authority comes from being convincing.
I'm Professor of Law and Regulation of AI at the University of Oxford, based at the Faculty of Law (where I'm Associate Dean) and the Institute for Ethics in AI (Faculty of Philosophy). I'm also an affiliated fellow of the Yale Information Society Project and the Quebec AI Institute (Mila).