Actions and Detail Panel
Interpreting the World with Machines w/ Dr. Richard Zemel
Sun, 22 January 2017, 2:00 PM – 3:30 PM EST
Interpreting the World with Machines: How information systems & statistical inference influence decisions
Dr. Richard Zemel
Information systems are becoming increasingly reliant on statistical inference and learning to render all sorts of decisions, including the issuing of bank loans, the targeting of advertising, and the provision of health care. This growing use of automated decision-making has sparked heated debate among philosophers, policy-makers, and lawyers, with critics voicing concerns with bias and discrimination. Bias against some specific groups may be ameliorated by attempting to make the automated decision-maker blind to some attributes, but this is difficult, as many attributes may be correlated with the particular one. The basic aim then is to make fair decisions, i.e., ones that are not unduly biased for or against specific subgroups in the population. In this talk, Dr. Zemel will discuss social implications of this problem, and work that he has done on it as well as that by other groups.
Richard Zemel is a Professor of Computer Science at the University of Toronto. Prior to that he was on the faculty at the University of Arizona in Computer Science and Psychology, and a Postdoctoral Fellow at the Salk Institute and at CMU. He received the B.Sc. in History & Science from Harvard, and a Ph.D. in Computer Science from the University of Toronto. His awards and honors include a Young Investigator Award from the ONR, a US Presidential Scholar award, and seven Dean's Excellence Awards. He is a Fellow of the Canadian Institute for Advanced Research, an NVIDIA Pioneer of AI, and a member of the NIPS Advisory Board. His research interests include topics in machine learning, computer vision and neural coding.