The notion of machine learning fairness can be bottled down to the following facets of data pre-processing: Demographic parity Equal opportunity Equalised odds Disparate impact To remove prejudices from a model might not be an impossible task but can any application which serves humans be immune to the human itself. And, even if the human…

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