Advanced analytics, including machine learning models, can be used to reveal hidden biases by predicting hiring outcomes based on candidate attributes. When certain features unrelated to job performance disproportionately influence predictions, it signals potential bias. Recognizing these patterns helps recruiters adjust criteria and algorithms to foster fairer decisions.
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