SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Learning fair representations via an adversarial framework
16 references·6 citing·24 second hop
Learning fair representations via an adversarial framework (2023)Learning fair representations via an adve…Improving Fairness in Machine Learning Systems (2019)Improving Fairness in Machine…Mitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…On Fairness and Calibration (2017)On Fairness and CalibrationFair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Algorithmic Decision Making and the Cost of Fairness (2017)Algorithmic Decision Making a…Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Inherent Trade-Offs in the Fa…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Automated Experiments on Ad Privacy Settings (2015)Automated Experiments on Ad P…Learning Fair Representations (2013)Learning Fair RepresentationsDiscrimination in Online Ad Delivery (2013)Discrimination in Online Ad D…Discrimination in online ad delivery (2013)Discrimination in online ad d…Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Fairness through awareness (2012)Fairness through awarenessData preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…Three naive Bayes approaches for discrimination-free classification (2010)Three naive Bayes approaches …Towards Fair AI: Mitigating Bias in Credit Decisions—A Systematic Literature Review (2025)Towards Fair AI: Mitigating B…On the fairness of generative adversarial networks (GANs) (2022)On the fairness of generative…An information theoretic approach to reducing algorithmic bias for machine learning (2022)An information theoretic appr…Socially Responsible AI Algorithms: Issues, Purposes, and Challenges (2021)Socially Responsible AI Algor…FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes (2021)FAWOS: Fairness-Aware Oversam…Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination (2021)Fairness in Semi-supervised L…Uniform Guidelines on Employee Selection Procedures (2007)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Big Data's Disparate Impact (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Addressing bias in big data and AI for health care: A call for open science (2021)Counterfactual Fairness (2017)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness and Abstraction in Sociotechnical Systems (2019)Fairness definitions explained (2018)Machine behaviour (2019)Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Algorithmic bias: review, synthesis, and future research directions (2021)Taxonomy of Risks posed by Language Models (2022)
this work references cited by second hop

References

  • 2012Fairness through awareness3,501 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
  • 2011Data preprocessing techniques for classification without discrimination1,304 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • 2013Learning Fair Representations1,126 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
  • 2019Improving Fairness in Machine Learning Systems776 cited
  • 2010Three naive Bayes approaches for discrimination-free classification756 cited
  • 2013Discrimination in online ad delivery751 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2015Automated Experiments on Ad Privacy Settings664 cited
  • 2017On Fairness and Calibration509 cited
  • 2013Discrimination in Online Ad Delivery

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

477 cited

Cited by

  • 2021Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination38 cited
  • 2021Socially Responsible AI Algorithms: Issues, Purposes, and Challenges33 cited
  • 2025Towards Fair AI: Mitigating Bias in Credit Decisions—A Systematic Literature Review30 cited
  • 2022An information theoretic approach to reducing algorithmic bias for machine learning27 cited
  • 2021FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes26 cited
  • 2022On the fairness of generative adversarial networks (GANs)21 cited