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If discrimination is the objective of machine learning models, then why are activists fighting for fair algorithms?
Example: Binary logistic regression, is one of the most used models to predict whether a person belongs to a certain group or not. The technique is applauded for its ability to successfully discriminate, for instance, in a bank, they want to know if someone can pay for a loan or not. So discrimination IS the objective of machine learning.
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