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Showing 1 to 1 of 1 for “"software fairness"”.

  1. Detection and Mitigation of Bias in Machine Learning Software and Datasets

    Fairness, i.e., lack of bias during a decision-making process is a desirable property in any software system that is used to make critical decisions (e.g., mortgage approval). However, with the rise of Machine Learning (ML) systems, the concern for unfair systems is also growing rapidly as ML …

    calgary Repository record for Detection and Mitigation of Bias in Machine Learning Software and Datasets (opens in a new tab)