Browsing Department of Computer Science and Engineering by Subject "Fairness testing"
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A COMBINATORIAL APPROACH TO FAIRNESS TESTING OF MACHINE LEARNING MODELS
(2022-05-16)Machine Learning (ML) models could exhibit biased behavior, or algorithmic discrimination, resulting in unfair or discriminatory outcomes. The bias in the ML model could emanate from various factors such as the training ...