AI-driven tools are increasingly used in hiring processes, but they pose a risk of amplifying gender bias if not carefully monitored. For example, if an AI system is trained on historical hiring data where men predominantly filled certain roles, it may undervalue applications from women for those positions. Organizations must rigorously test AI hiring tools for bias and continually update their models to ensure fairness.
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