Lensic Performing Arts Center
Community Event
Michael Kearns

Algorithms, including those that can learn to predict from historical data, are making increasingly consequential decisions about the lives of individual citizens in domains as diverse as advertising, credit, employment, education, and criminal sentencing. This trend has been accompanied by increasing concern and alarm over potential erosions of privacy, fairness, transparency, and accountability. Recent research in machine learning seeks to quantify the extent to which such social norms can actually be embedded in these algorithms, and the tradeoffs presented with predictive accuracy and other measures of utility. Michael Kearns will describe some of these developments, with a focus on what it means for machine learning to be “fair.”

Kearns is a professor in the Computer and Information Science Department at the University of Pennsylvania, where he holds the National Center Chair. He has secondary appointments in the Department of Economics, and in the departments of Statistics and Operations, Information, and Decisions in the Wharton School. He is the founding director of the Warren Center for Network and Data Sciences and the founding co-director of Penn Engineering's Networked and Social Systems Engineering Program. He is chief scientist of MANA Partners, a trading, technology, and asset management firm.

We will have time for just a few questions at the end of the lecture. Want to submit a question ahead of time? Submit your question to questions@santafe.edu before the lecture.

President's Circle members are offered reserved, front-row seating. Please reserve your general admission tickets and look for signs at the venue. Not yet a President's Circle member? Learn more or join now.

Generous underwriting from Thornburg Investment Management, with additional support from The Lensic Performing Arts Center, makes this series possible.

Tickets for this event are free, but seating is limited and ticket reservations are required.



You can participate in SFI's 2017 Community Lectures live online. To watch this lecture as it happens, visit SFI's YouTube page. To participate in the discussion via Twitter, follow at @SFILive.

SFI Community Lecture