While AI can reduce certain human biases, it can also perpetuate or amplify existing ones if trained on biased historical data. If the data input reflects a company's previous homogenous hiring decisions, the AI may inadvertently filter out underrepresented candidates, reinforcing the status quo rather than improving diversity.
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