"A large part of our digital infrastructure is designed to automate decision making, and ideally should improve economic efficiency. Automated decisions now govern, among many other things, whether we are approved for credit cards, what advertisements we are shown, and what search results we see. Algorithms determine the government’s perception of an individual’s risk (e.g. at airport security) or trustworthiness (e.g. in evaluating recidivism risk for parole decisions). The aim of the workshop is to better understand issues surrounding “unfairness” associated with the use of machine learning and automated decision making. This includes the frictions that are the cause of such inadvertent unfairness, and novel technical solutions to solve these problems.
This workshop will take place at the University of Pennsylvania in Philadelphia on January 19th and 20th 2017.
Co-organizers: Sampath Kannan, Jamie Morgenstern, Mallesh Pai, Aaron Roth, Rakesh Vohra"