2 papers
cs.LG2026
No evaluation without fair representation : Impact of label and selection bias on the evaluation, performance and mitigation of classification models
Magali Legast, Toon Calders, François Fouss
Bias can be introduced in diverse ways in machine learning datasets, for example via selection or label bias. Although these bias types in themselves have an influence on important…
cs.CY2023
Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity
Lisa Koutsoviti Koumeri, Magali Legast, Yasaman Yousefi +3
Empirical evidence suggests that algorithmic decisions driven by Machine Learning (ML) techniques threaten to discriminate against legally protected groups or create new sources of…