While AI aims to eliminate bias, it can inadvertently perpetuate biases present in historical hiring data. If training datasets lack diversity or reflect past discriminatory practices, AI tools might unfairly disadvantage certain groups, thus negatively impacting fairness in tech recruiting.

While AI aims to eliminate bias, it can inadvertently perpetuate biases present in historical hiring data. If training datasets lack diversity or reflect past discriminatory practices, AI tools might unfairly disadvantage certain groups, thus negatively impacting fairness in tech recruiting.

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