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In algorithmic fairness, label choice bias refers to bias that arises when an algorithm predicts a convenient proxy, like health costs, instead of the true target, like health need, disadvantaging groups with lower proxy values. This meaning comes from Obermeyer (2019) in Science.[1]
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