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問題 10 / 65
Including sensitive attributes such as race in training can produce discrimination via proxy variables. What is the most appropriate measure to reduce the risk of discrimination?
①Use sensitive attributes as-is without taking any measures.
②Simply excluding the sensitive attributes will solve the problem.
③Train by randomly shuffling the values of the sensitive attributes.
④Use sensitive attributes only at prediction time.
⑤Improve fairness by introducing preprocessing and training-time debiasing methods (e.g., reweighing, adversarial debiasing).