People

Yuriy Brun
Safe and Fair Machine Learning, Engineering Fair Systems
Yanlei Diao
Explainability in Data Analysis
Przemyslaw Grabowicz
Non-Discriminatory Decision-Making, Fair Machine Learning
Laura Haas
Explainability in Data Integration
Neil Immerman
Explainability in Data Analysis
David Jensen
Explainability in Data Analysis
Erik Learned-Miller
Computer Vision
Narges Mahyar
Public Policy
Alexandra Meliou
Engineering Fair Systems, Data Diversity, Explainability in Data Analysis
Gerome Miklau
Balancing Privacy and Fairness, Data Diversity
Brendan O'Connor
Disparities in Natural Language Processing
Philip Thomas
Safe and Fair Machine Learning
Michelle Trim
Ethics Education
Sholomo Zilberstein
Safe and Fair Machine Learning