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Fair Enough: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds.
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Fair Enough: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds. (2020)Fair Enough: Improving Fairness in Budget…Active Fairness in Algorithmic Decision Making (2019)Active Fairness in Algorithmi…A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions (2018)A case study of algorithm-ass…Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness (2017)Preventing Fairness Gerrymand…On Fairness, Diversity and Randomness in Algorithmic Decision Making (2017)On Fairness, Diversity and Ra…On Fairness and Calibration (2017)On Fairness and CalibrationHow Conditional Cash Transfers Work (2017)How Conditional Cash Transfer…Fairness in learning: classic and contextual bandits (2016)Fairness in learning: classic…Fairness in Learning: Classic and Contextual Bandits (2016)Fairness in Learning: Classic…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Fairness through awareness (2012)Fairness through awarenessJustice as Fairness: A Restatement (2002)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)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Big Data's Disparate Impact (2014)Algorithmic fairness in business analytics: Directions for research and practice (2022)Algorithmic Fairness (2023)Discrimination-aware data mining (2008)Model Cards for Model Reporting (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fairness Beyond Disparate Treatment & Disparate Impact (2017)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Bias and Fairness in Large Language Models: A Survey (2024)Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Algorithmic Decision Making and the Cost of Fairness (2017)Aequitas: A Bias and Fairness Audit Toolkit (2018)Fairness in Machine Learning: A Survey (2023)Have cash transfers succeeded in reaching the poor in Latin America and the Caribbean? (2017)Cash transfers for pro-poor carbon taxes in Latin America and the Caribbean (2019)A Review on Fairness in Machine Learning (2022)Improving Prediction Fairness via Model Ensemble (2019)Impact of Model Ensemble On the Fairness of Classifiers in Machine Learning (2021)Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Closing the AI accountability gap (2020)Fairness definitions explained (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)
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References

  • 2012Fairness through awareness3,545 cited
  • 2016Equality of Opportunity in Supervised Learning2,733 cited
  • 2017On Fairness and Calibration573 cited
  • 2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness446 cited
  • 2018A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions230 cited
  • 2016Fairness in Learning: Classic and Contextual Bandits199 cited
  • 2016Fairness in learning: classic and contextual bandits95 cited
  • 2019Active Fairness in Algorithmic Decision Making74 cited
  • 2017How Conditional Cash Transfers Work55 cited
  • 2017On Fairness, Diversity and Randomness in Algorithmic Decision Making26 cited

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