Automated tools often rely on complex algorithms or machine learning models that can be difficult to understand or explain. This lack of transparency makes it challenging for both applicants and employers to identify whether decisions are truly free from bias or if hidden discriminatory patterns persist within the tool’s logic.

Automated tools often rely on complex algorithms or machine learning models that can be difficult to understand or explain. This lack of transparency makes it challenging for both applicants and employers to identify whether decisions are truly free from bias or if hidden discriminatory patterns persist within the tool’s logic.

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