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June 14, 2018


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While I applaud these efforts to address this bias, are there other ways to fix the potential historical bias that exists due to red-lining in the training data? To me this is the biggest issue with recidivism models.

With credit models, it seems possible to use experts to re-label the data in a unbiased way before training. I don't see how one can do that in the context of recidivism.

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