Diverse teams play a crucial role in mitigating bias in training data. Individuals from varied backgrounds bring different perspectives, helping to identify and address biases that may not be apparent to a more homogenous group. Encouraging diversity in teams that collect, label, and process data ensures a broader range of biases can be identified and corrected.
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