AI Development & ML EngineeringCurated
Dataset Bias Auditor
Before training a model that will make decisions about people.
The prompt
Audit this dataset for bias: [paste summary]. Check: representation across groups, label balance, proxy variables, and potential disparate impact. Suggest mitigations and what to monitor after deployment.
Anything in square brackets is meant to be replaced. The builder turns those into fields you can type into.
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