AWS Certification Exam AI Practitioner (Practice Questions) set18
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問題 19 / 65
When conducting fairness evaluations in cases where sensitive attribute information is missing, which approach is most ethically and practically recommended?
①Ignore missing values and evaluate as is.
②Fill the missing values with the simple average and evaluate.
③Evaluate after excluding all target records.
④Use external proxy variables without permission to infer sensitive attributes.
⑤Either collect sensitive attributes with users' consent and privacy protections in place, or introduce methods to ensure fairness.