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wilson-facct21

Building and Auditing Fair Algorithms: A Case Study in Candidate Screening Christo Wilson Northeastern University cbw@ccs.neu.edu Alan Mislove Northeastern University amislove@ccs.neu.edu Avijit Ghosh Northeastern University avijit@ccs.neu.edu Lewis Baker pymetrics, inc. lewis@pymetrics.com Shan Jiang Northeastern University sjiang@ccs.neu.edu Janelle Szary pymetrics, inc. janelle@pymetrics.com Kelly Trindel pymetrics, inc. kelly@pymetrics.com Frida Polli pymetrics, inc. frida.polli@pymetrics.co Brookings , code for their candidate , groups being the eeoc , discrimination that may impact , group had corresponding demographic , candidates to their clients , process and no model , data from these games , data from four clients , model for given client , pymetrics than to clients , impact on the fairnes 27-Oct-2021 auto-generated