AI chatbots designed for candidate assessment can reduce human biases by standardizing interactions and evaluations based on predefined criteria. However, the objectivity largely depends on the quality of the underlying algorithms and data used for training. If the AI is trained on biased data or poorly designed assessment parameters, it can perpetuate or even amplify existing biases.
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