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