References

• 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,270 cited
• 2020Algorithmic Fairness: Choices, Assumptions, and Definitions738 cited
• 2022A Review on Fairness in Machine Learning620 cited
• 2022A survey on datasets for fairness‐aware machine learning261 cited
• 2021Fairness in credit scoring: Assessment, implementation and profit implications196 cited
• 2024The Fairness of Credit Scoring Models42 cited
• 2022Marrying Fairness and Explainability in Supervised Learning37 cited
• 2019SHAPLEY EFFECTS FOR SENSITIVITY ANALYSIS WITH CORRELATED INPUTS: COMPARISONS WITH SOBOL' INDICES, NUMERICAL ESTIMATION AND APPLICATIONS20 cited
• 2022Fair classification by loss balancing via fairness-aware batch sampling20 cited
• 2022On Learning Fairness and Accuracy on Multiple Subgroups20 cited
• 2019Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness19 cited
• 2020Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning16 cited
• 2021Application of credit‐scoring methods in a decision support system of investment for peer‐to‐peer lending14 cited
• 2021Machine Learning Fairness is Computationally Difficult and Algorithmically Unsatisfactorily Solved