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On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections
16 references·5 citing·29 second hop
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections (2021)On Dyadic Fairness: Exploring and Mitigat…Bursting the Filter Bubble: Fairness-Aware Network Link Prediction (2020)Bursting the Filter Bubble: F…Wasserstein Fair Classification (2019)Wasserstein Fair Classificati…Fairwalk: Towards Fair Graph Embedding (2019)Fairwalk: Towards Fair Graph …An Empirical Study of Rich Subgroup Fairness for Machine Learning (2019)An Empirical Study of Rich Su…Obtaining fairness using optimal transport theory (2018)Obtaining fairness using opti…Learning Adversarially Fair and Transferable Representations (2018)Learning Adversarially Fair a…Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness (2017)Preventing Fairness Gerrymand…From Parity to Preference-based Notions of Fairness in Classification (2017)From Parity to Preference-bas…Counterfactual Fairness (2017)Counterfactual FairnessEquality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…A Confidence-Based Approach for Balancing Fairness and Accuracy (2016)A Confidence-Based Approach f…Fairness Constraints: Mechanisms for Fair Classification (2015)Fairness Constraints: Mechani…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactLearning Fair Representations (2013)Learning Fair RepresentationsThe filter bubble: how the new personalized Web is changing what we read and how we think (2012)The filter bubble: how the ne…Fairness through awareness (2012)Fairness through awarenessFairness amidst non‐IID graph data: A literature review (2025)Fairness amidst non‐IID graph…FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization (2024)FairSIN: Achieving Fairness i…Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools (2023)Toward Operationalizing Pipel…Interpreting Unfairness in Graph Neural Networks via Training Node Attribution (2023)Interpreting Unfairness in Gr…Fair Graph Mining (2021)Fair Graph MiningIncorporating 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)Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Can AI Help Reduce Disparities in General Medical and Mental Health Care? (2019)Introduction to Multi-Armed Bandits (2019)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Software fairness (2018)Fairness, Equality, and Power in Algorithmic Decision-Making (2021)Structural Equations with Latent Variables. (1991)Testing Structural Equation Models. (1995)Fairness definitions explained (2018)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Algorithmic Decision Making and the Cost of Fairness (2017)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)FairGAN: Fairness-aware Generative Adversarial Networks (2018)Fairness in Recommendation Ranking through Pairwise Comparisons (2019)A snapshot of the frontiers of fairness in machine learning (2020)Fairness Beyond Disparate Treatment & Disparate Impact (2017)Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)The ethics of algorithms: Mapping the debate (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)"I always assumed that I wasn't really that close to [her]" (2015)In Related News, That Was Wrong: The Correction of Misinformation Through Related Stories Functionality in Social Media (2015)Exposure to untrustworthy websites in the 2016 US election (2020)
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References

  • 2012Fairness through awareness3,501 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2012The filter bubble: how the new personalized Web is changing what we read and how we think1,317 cited
  • 2013Learning Fair Representations1,126 cited
  • 2017Counterfactual Fairness995 cited
  • 2015Fairness Constraints: Mechanisms for Fair Classification644 cited
  • 2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness403 cited
  • 2018Learning Adversarially Fair and Transferable Representations387 cited
  • 2019An Empirical Study of Rich Subgroup Fairness for Machine Learning197 cited
  • 2016A Confidence-Based Approach for Balancing Fairness and Accuracy163 cited
  • 2019Fairwalk: Towards Fair Graph Embedding163 cited
  • 2017From Parity to Preference-based Notions of Fairness in Classification121 cited
  • 2020Bursting the Filter Bubble: Fairness-Aware Network Link Prediction82 cited
  • 2018Obtaining fairness using optimal transport theory76 cited
  • 2019Wasserstein Fair Classification

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Cited by

  • 2025Fairness amidst non‐IID graph data: A literature review29 cited
  • 2024FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization26 cited
  • 2023Interpreting Unfairness in Graph Neural Networks via Training Node Attribution25 cited
  • 2021Fair Graph Mining22 cited
  • 2023Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools19 cited