Room: Yaiza

This workshop is organized in partnership with the Leverhulme Centre for the Future of Intelligence.



09:30-10:15 Preserving-Privacy Collaborative Machine Learning without Centralized Training DataKeith Bonawitz, Google Research

10:15-11:00 Confidential Machine Learning on Trusted ProcessorsOlya Ohrimenko, MSR Cambridge

11:00-11:30 Coffee

11:30-12:15 Delayed Impact of Fair Machine LearningMoritz Hardt, UC Berkeley

12:15-13:00 Understanding and Accounting for Human Perceptions of Fairness in Algorithmic Decision MakingNina Grgic-Hlaca, MPI-SWS

13:00-14:00 Lunch

15:00-15:45 The Power of Probabilistic Modelling for Transparent Machine Learning and Scientific DiscoveryAndrew Gordon Wilson, Cornell

15:45-16:30 Panel session - How can we maximize real world beneficial impact?Earlier speakers + Sandra Wachter