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Towards Formal Fairness in Machine Learning
16 references·1 citing·25 second hop
Towards Formal Fairness in Machine Learning (2020)Towards Formal Fairness in Machine Learni…A snapshot of the frontiers of fairness in machine learning (2020)A snapshot of the frontiers o…Improving Fairness in Machine Learning Systems (2019)Improving Fairness in Machine…A comparative study of fairness-enhancing interventions in machine learning (2019)A comparative study of fairne…The accuracy, fairness, and limits of predicting recidivism (2018)The accuracy, fairness, and l…Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Fairness in Criminal Justice …Fairness definitions explained (2018)Fairness definitions explainedOptimized Pre-Processing for Discrimination Prevention (2017)Optimized Pre-Processing for …Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Counterfactual Fairness (2017)Counterfactual FairnessAvoiding Discrimination through Causal Reasoning (2017)Avoiding Discrimination throu…Algorithmic Decision Making and the Cost of Fairness (2017)Algorithmic Decision Making a…On the (im)possibility of fairness (2016)On the (im)possibility of fai…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…Fairness through awareness (2012)Fairness through awarenessImproving fairness generalization through a sample-robust optimization method (2022)Improving fairness generaliza…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)A META‐ANALYSIS OF THE PREDICTORS OF ADULT OFFENDER RECIDIVISM: WHAT WORKS!* (1996)Predicting relapse: A meta-analysis of sexual offender recidivism studies. (1998)The accuracy of recidivism risk assessments for sexual offenders: A meta-analysis of 118 prediction studies. (2009)From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019)In AI we trust? Perceptions about automated decision-making by artificial intelligence (2020)Structural Equations with Latent Variables. (1991)Testing Structural Equation Models. (1995)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)Machine behaviour (2019)Algorithmic content moderation: Technical and political challenges in the automation of platform governance (2020)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Algorithmic Bias in Education (2021)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)
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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
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • 2018Fairness definitions explained1,125 cited
  • 2018The accuracy, fairness, and limits of predicting recidivism1,071 cited
  • 2017Counterfactual Fairness995 cited
  • 2018Fairness in Criminal Justice Risk Assessments: The State of the Art986 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
  • 2019Improving Fairness in Machine Learning Systems776 cited
  • 2019A comparative study of fairness-enhancing interventions in machine learning601 cited
  • 2017Optimized Pre-Processing for Discrimination Prevention459 cited
  • 2017Avoiding Discrimination through Causal Reasoning358 cited
  • 2020A snapshot of the frontiers of fairness in machine learning355 cited
  • 2016On the (im)possibility of fairness

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247 cited

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  • 2022Improving fairness generalization through a sample-robust optimization method19 cited