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Multiwinner Voting with Fairness Constraints
16 references·1 citing·40 second hop
Multiwinner Voting with Fairness Constraints (2018)Multiwinner Voting with Fairness Constrai…Ranking with Fairness Constraints (2017)Ranking with Fairness Constra…Measuring Fairness in Ranked Outputs (2017)Measuring Fairness in Ranked …Justified representation in approval-based committee voting (2017)Justified representation in a…Preparing for the future of Artificial Intelligence (2016)Preparing for the future of A…Handbook of Computational Social Choice (2016)Handbook of Computational Soc…Handbook of Computational Social Choice (2016)Handbook of Computational Soc…Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016)Fairness Beyond Disparate Tre…Unequal Representation and Gender Stereotypes in Image Search Results for Occupations (2015)Unequal Representation and Ge…Fairness Constraints: Mechanisms for Fair Classification (2015)Fairness Constraints: Mechani…Properties of multiwinner voting rules (2014)Properties of multiwinner vot…Learning Fair Representations (2013)Learning Fair RepresentationsFairness through awareness (2012)Fairness through awarenessFully Proportional Representation (1995)Fully Proportional Representa…Strategic Voting Equilibria under the Single Nontransferable Vote (1994)Strategic Voting Equilibria u…Representative Deliberations and Representative Decisions: Proportional Representation and the Borda Rule (1983)Representative Deliberations …The Elementary Statistics of Majority Voting (1946)The Elementary Statistics of …Multi-Winner Voting with Approval Preferences (2022)Multi-Winner Voting with Appr…Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Bias in computer systems (1996)Stereotype Threat and Women's Math Performance (1999)Gender and the Career Choice Process: The Role of Biased Self‐Assessments (2001)Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations (2019)Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)Ethics and discrimination in artificial intelligence-enabled recruitment practices (2023)On the Rationale of Group Decision-making (1948)Social Choice and Individual Values. (1951)Multiagent systems: algorithmic, game-theoretic, and logical foundations (2009)Twenty Lectures on Algorithmic Game Theory (2016)Fair Public Decision Making (2017)Social choice ethics in artificial intelligence (2017)Big Data's Disparate Impact (2014)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fairness in Machine Learning: Lessons from Political Philosophy (2017)Fairness of Exposure in Rankings (2018)Where fairness fails: data, algorithms, and the limits of antidiscrimination discourse (2019)Social Choice and Individual Values (1952)Game theoretic analysis of a bankruptcy problem from the Talmud (1985)Axioms of Cooperative Decision Making (1988)Moral Decision Making Frameworks for Artificial Intelligence (2017)A Voting-Based System for Ethical Decision Making (2018)Algorithmic Decision Making and the Cost of Fairness (2017)Counterfactual Fairness (2017)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)FA*IR (2017)A snapshot of the frontiers of fairness in machine learning (2020)A Layered Model for AI Governance (2017)Artificial Intelligence and the Public Sector—Applications and Challenges (2018)Exploring artificial intelligence adoption in public organizations: a comparative case study (2022)Fairness Beyond Disparate Treatment & Disparate Impact (2017)Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)The Effect of Shareholding Dispersion on the Degree of Control in British Companies: Theory and Measurement (1983)On the computation of fully proportional representation (2013)Deriving decision makers’ weights in group decision making: An overview of objective methods (2018)
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References

  • 2012Fairness through awareness3,501 cited
  • 2013Learning Fair Representations1,126 cited
  • 1946The Elementary Statistics of Majority Voting843 cited
  • 2015Fairness Constraints: Mechanisms for Fair Classification644 cited
  • 2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
  • 2015Unequal Representation and Gender Stereotypes in Image Search Results for Occupations509 cited
  • 2016Handbook of Computational Social Choice466 cited
  • 2016Handbook of Computational Social Choice439 cited
  • 2016Preparing for the future of Artificial Intelligence425 cited
  • 2017Measuring Fairness in Ranked Outputs378 cited
  • 1983Representative Deliberations and Representative Decisions: Proportional Representation and the Borda Rule351 cited
  • 2017Justified representation in approval-based committee voting260 cited
  • 1994Strategic Voting Equilibria under the Single Nontransferable Vote249 cited
  • 2017Ranking with Fairness Constraints236 cited
  • 2014Properties of multiwinner voting rules229 cited
  • 1995

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Fully Proportional Representation
211 cited

Cited by

  • 2022Multi-Winner Voting with Approval Preferences82 cited