What Reliable AI Progress Requires Beyond Bigger Models
Probabilistic AI; uncertainty; reliable learning
Speaker
Zoubin Ghahramani
Professor of Information Engineering
University of Cambridge
Biography
Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge. His research develops probabilistic approaches to machine learning, artificial intelligence and statistics, including methods for representing uncertainty and making decisions from data. His work spans Gaussian processes, Bayesian nonparametrics, graphical models and approximate inference. He earned his doctorate at MIT and previously held research appointments at Toronto and UCL. His perspective connects mathematical foundations with the reliability questions that arise when learning systems encounter unfamiliar conditions.