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 Data Keith Bonawitz, Google Research

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

11:00- 11:30 Coffee

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

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

13:00- 14:00 Lunch

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

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