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Cited by

• 2007UNDERSTANDING THE IMPACT OF TEST VALIDITY AND BIAS ON SELECTION ERRORS AND ADVERSE IMPACT IN HUMAN RESOURCE SELECTION65 cited
• 2018Intellectual capital and Organization performance in the manufacturing sector of Mexico57 cited
• 2021A Survey of Bias in Machine Learning Through the Prism of Statistical Parity49 cited
• 2021Analyzing the impact of missing values and selection bias on fairness44 cited
• 2019Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries34 cited
• 2021Can We Obtain Fairness For Free?28 cited
• 2020FACT: A Diagnostic for Group Fairness Trade-offs25 cited
• 2019Improving Prediction Fairness via Model Ensemble21 cited
• 2012A comparison of adverse impact levels based on top‐down, multisource, and assessment center data: Promoting diversity and reducing legal challenges20 cited
• 2018Non-Discriminatory Machine Learning Through Convex Fairness Criteria18 cited
• 2014Exploring the Use of Credit Scores in Selection Processes: Beware of Adverse Impact18 cited
• 2020Enforcing fairness in logistic regression algorithm17 cited
• 2022Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization15 cited
• 2020