In other words, when you have a dataset that has a “favored” group of people and a “discriminated” group of people, and you’re deciding on an outcome that has historically been awarded to the favored group more often – in this case, it would be a low recidivism risk rating – then you cannot expect to maximize accuracy and keep the discrimination down to zero at the same time.

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