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Train on None Protected features #224

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danjamker opened this issue Feb 2, 2021 · 1 comment
Open

Train on None Protected features #224

danjamker opened this issue Feb 2, 2021 · 1 comment

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@danjamker
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Is there a way of training models without the sensitive attributes?

@hoffmansc
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Can you explain a little more what you mean by that? What kind of fairness metric are you interested in?

Satisfying group fairness requires sensitive attributes to partition the samples into groups. Individual fairness would not require this but we don't currently have any algorithms in the toolbox that only target individual fairness.

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