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Group Fairness in Committee Selection

Published: 16 October 2020 Publication History

Abstract

In this article, we study fairness in committee selection problems. We consider a general notion of fairness via stability: A committee is stable if no coalition of voters can deviate and choose a committee of proportional size, so that all these voters strictly prefer the new committee to the existing one. Our main contribution is to extend this definition to stability of a distribution (or lottery) over committees. We consider two canonical voter preference models: the Approval Set setting where each voter approves a set of candidates and prefers committees with larger intersection with this set; and the Ranking Representative setting where each voter ranks committees based on how much she likes her favorite candidate in a committee. Our main result is to show that stable lotteries always exist for these canonical preference models. Interestingly, given preferences of voters over committees, the procedure for computing an approximately stable lottery is the same for both models and therefore extends to the setting where some voters have the former preference structure and others have the latter. Our existence proof uses the probabilistic method and a new large deviation inequality that may be of independent interest.

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Cited By

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  • (2024)Optimized Distortion and Proportional Fairness in VotingACM Transactions on Economics and Computation10.1145/364076012:1(1-39)Online publication date: 19-Jan-2024
  • (2024)A comparison of sequential ranked-choice voting and single transferable voteJournal of Computational Social Science10.1007/s42001-024-00249-87:1(643-670)Online publication date: 11-Mar-2024
  • (2023)Fair Multiwinner Elections with Allocation ConstraintsProceedings of the 24th ACM Conference on Economics and Computation10.1145/3580507.3597685(964-990)Online publication date: 9-Jul-2023
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Published In

cover image ACM Transactions on Economics and Computation
ACM Transactions on Economics and Computation  Volume 8, Issue 4
Special Issue on EC’19
November 2020
139 pages
ISSN:2167-8375
EISSN:2167-8383
DOI:10.1145/3430681
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 October 2020
Accepted: 01 July 2020
Revised: 01 March 2020
Received: 01 August 2019
Published in TEAC Volume 8, Issue 4

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Author Tags

  1. Fairness
  2. committee selection
  3. social choice

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Cited By

View all
  • (2024)Optimized Distortion and Proportional Fairness in VotingACM Transactions on Economics and Computation10.1145/364076012:1(1-39)Online publication date: 19-Jan-2024
  • (2024)A comparison of sequential ranked-choice voting and single transferable voteJournal of Computational Social Science10.1007/s42001-024-00249-87:1(643-670)Online publication date: 11-Mar-2024
  • (2023)Fair Multiwinner Elections with Allocation ConstraintsProceedings of the 24th ACM Conference on Economics and Computation10.1145/3580507.3597685(964-990)Online publication date: 9-Jul-2023
  • (2023)AFCMiner: Finding Absolute Fair Cliques From Attributed Social Networks for Responsible Computational Social SystemsIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.324507510:6(3000-3011)Online publication date: Dec-2023
  • (2022)Optimized Distortion and Proportional Fairness in VotingProceedings of the 23rd ACM Conference on Economics and Computation10.1145/3490486.3538339(563-600)Online publication date: 12-Jul-2022
  • (2021)Optimal Algorithms for Multiwinner Elections and the Chamberlin-Courant RuleProceedings of the 22nd ACM Conference on Economics and Computation10.1145/3465456.3467624(697-717)Online publication date: 18-Jul-2021

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