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Fairness in credit scoring: Assessment, implementation and profit implications

16 references·16 citing·24 second hopsampled

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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
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
2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
2013Learning Fair Representations1,126 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
2021Predictably Unequal? The Effects of Machine Learning on Credit Markets767 cited
2010Three naive Bayes approaches for discrimination-free classification756 cited
2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
2020

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Algorithmic Fairness: Choices, Assumptions, and Definitions

687 cited

Cited by

2023Algorithmic discrimination in the credit domain: what do we know about it?99 cited
2022Algorithmic fairness in business analytics: Directions for research and practice89 cited
2023Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods71 cited
2024Who gets the money? A qualitative analysis of fintech lending and credit scoring through the adoption of AI and alternative data57 cited
2024A fused large language model for predicting startup success45 cited
2024The Fairness of Credit Scoring Models42 cited
2024Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art42 cited
2023Survey on fairness notions and related tensions38 cited
2024Bridging the gap: Towards an expanded toolkit for AI-driven decision-making in the public sector31 cited
2025Towards Fair AI: Mitigating Bias in Credit Decisions—A Systematic Literature Review30 cited
2022From fair predictions to just decisions? Conceptualizing algorithmic fairness and distributive justice in the context of data-driven decision-making30 cited
2023Credit risk prediction based on loan profit: Evidence from Chinese SMEs28 cited
2023Algorithmic Decision Making Methods for Fair Credit Scoring27 cited
2024Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation.27 cited
2021The Fairness of Credit Scoring Models26 cited
2023Navigating fairness measures and trade-offs24 cited