Pipeline Bias Audit

기계 지원 번역 초안 (Korean) for "Pipeline Bias Audit": Pipeline Bias Audit is a ml review process that looks for uneven model behavior across groups or segments for automated data and model workflow. It uses slice metrics, representative data, and reviewer notes so teams can surface fairness risks while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The machine learning team used Pipeline Bias Audit when the pipeline missed a validation step, so the team could surface fairness risks before the model moved into evaluation.”