Browsing Department of Computer Science and Engineering by Subject "Fairness"
Now showing items 1-2 of 2
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COMPACT REPRESENTATIVES OF DATABASES AND RESPONSIBLE DATA MANAGEMENT
(2023-08-08)With the advent of advanced computational models, we are being constantly judged by AI systems, complex algorithmic systems based on data that has been collected about us. These analysis are critical as they span many wide ... -
MACHINE LEARNING METHODS TO IMPROVE FAIRNESS AND PREDICTION ACCURACY ON LARGESOCIALLY RELEVANT DATASETS
(2021-08-16)Machine learning-based decision support systems bring relief to the decision-makers in many domains such as loan application acceptance, dating, hiring, granting parole, insurance coverage, and medical diagnoses. These ...