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  • title: Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions
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            Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions
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            Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions

            Jul 24, 2023

            Speakers

            NB

            Niclas Boehmer

            Speaker · 0 followers

            LEC

            L. Elisa Celis

            Speaker · 0 followers

            LH

            Lingxiao Huang

            Speaker · 0 followers

            About

            We consider the problem of subset selection where one is given multiple rankings of items and the goal is to select the highest "quality" subset. Score functions from the multiwinner voting literature have been used to aggregate rankings into quality scores for subsets. We study this setting of subset selection problems when, in addition, rankings may contain systemic or unconscious biases toward a group of items. For a general model of input rankings and biases, we show that requiring the selec…

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            ICML 2023

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