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Predictive Uncertainty-based Bias Mitigation in Ranking
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Predictive Uncertainty-based Bias Mitigation in Ranking (2023)Predictive Uncertainty-based Bias Mitigat…Fairness in Ranking, Part II: Learning-to-Rank and Recommender Systems (2022)Fairness in Ranking, Part II:…Fairness in Ranking, Part I: Score-Based Ranking (2022)Fairness in Ranking, Part I: …Ethics of Data and Analytics (2022)Ethics of Data and AnalyticsReducing Disparate Exposure in Ranking: A Learning To Rank Approach (2020)Reducing Disparate Exposure i…Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (2020)Proceedings of the 2020 Confe…Policy Learning for Fairness in Ranking (2019)Policy Learning for Fairness …Operationalizing individual fairness with pairwise fair representations (2019)Operationalizing individual f…iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making (2019)iFair: Learning Individually …Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)Fairness-Aware Ranking in Sea…Fairness in Recommendation Ranking through Pairwise Comparisons (2019)Fairness in Recommendation Ra…Online Set Selection with Fairness and Diversity Constraints (2018)Online Set Selection with Fai…Investigating the Impact of Gender on Rank in Resume Search Engines (2018)Investigating the Impact of G…Fairness of Exposure in Rankings (2018)Fairness of Exposure in Ranki…Equity of Attention (2018)Equity of AttentionRanking with Fairness Constraints (2017)Ranking with Fairness Constra…FA*IR (2017)FA*IRThe Proof and Measurement of Association between Two Things (1904)Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons (1952)Fairness through awareness (2012)Mitigating bias in algorithmic hiring (2020)Big Data's Disparate Impact (2014)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Algorithmic content moderation: Technical and political challenges in the automation of platform governance (2020)Fairness in Machine Learning: A Survey (2023)Equality of Opportunity in Supervised Learning (2016)Bias in computer systems (1996)Fairness in rankings and recommendations: an overview (2021)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring (2019)Unveiling security, privacy, and ethical concerns of ChatGPT (2023)Exposure to ideologically diverse news and opinion on Facebook (2015)A Review on Fairness in Machine Learning (2022)Fairness in recommender systems: research landscape and future directions (2023)Semantics derived automatically from language corpora contain human-like biases (2017)Socially Responsible AI Algorithms: Issues, Purposes, and Challenges (2021)Inherent Tradeoffs in the Fair Determination of Risk Scores (2023)A Taxonomy of Organizational Justice Theories (1987)How can we manage biases in artificial intelligence systems – A systematic literature review (2023)Worldwide AI ethics: A review of 200 guidelines and recommendations for AI governance (2023)Responsible artificial intelligence governance: A review and research framework (2025)Algorithms at Work: The New Contested Terrain of Control (2019)Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach (2020)Leakage and the reproducibility crisis in machine-learning-based science (2023)
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References

  • 2018Fairness of Exposure in Rankings611 cited
  • 2017FA*IR497 cited
  • 2020Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency486 cited
  • 2019Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search394 cited
  • 2018Equity of Attention386 cited
  • 2019Fairness in Recommendation Ranking through Pairwise Comparisons374 cited
  • 2022Ethics of Data and Analytics248 cited
  • 2017Ranking with Fairness Constraints236 cited
  • 2019iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making162 cited
  • 2020Reducing Disparate Exposure in Ranking: A Learning To Rank Approach159 cited
  • 2018Investigating the Impact of Gender on Rank in Resume Search Engines155 cited
  • 2019Policy Learning for Fairness in Ranking103 cited
  • 2022Fairness in Ranking, Part I: Score-Based Ranking94 cited
  • 2022Fairness in Ranking, Part II: Learning-to-Rank and Recommender Systems87 cited
  • 2019Operationalizing individual fairness with pairwise fair representations86 cited
  • 2018Online Set Selection with Fairness and Diversity Constraints

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