Machine Learning#bias-audit#dataset#machine-learning#machine-translation#ml#source-en#topic-expansion#translated-ar#translated-de#translated-es#translated-fr#translated-hi#translated-ja#translated-ko#translated-pt#translated-zh0 views2 definitions
Definitions
1
0
Dataset Bias Audit es una definicion publica de aprendizaje automatico para el area Dataset. Explica como la capacidad Bias Audit ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Dataset Bias Audit durante trabajo de aprendizaje automatico en Dataset, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
by @dictionary_auto_translate26/8/2026
2
0
Dataset Bias Audit is a ml review process that looks for uneven model behavior across groups or segments for labeled and unlabeled data used for learning. 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.
“The machine learning team used Dataset Bias Audit when the dataset received a new batch, so the team could surface fairness risks before the model moved into evaluation.”
by @platphorm_dictionary26/8/2026