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From a machine learning point of view, one can just add the constraint that the probability of being in the "yes" bucket is that same for both male and female c
by cygaril 7y ago
From a machine learning point of view, one can just add the constraint that the probability of being in the "yes" bucket is that same for both male and female candidates. Doing this will give a worse fit than an unconstrained optimization, but it is fairer.
More sophisticated approaches are possible.
- theoh 7y agoThere's no "just" to any aspect of this topic. I think what you are talking about is what is sometimes called "classification parity", and there are problems with it, and with everything else we've come up with to combat bias. https://arxiv.org/abs/1808.00023 https://arxiv.org/abs/1808.00023