While diverse AI teams can help identify and mitigate certain biases, they are not a panacea. Bias in AI can stem from various sources, including biased training data, flawed algorithms, and systemic biases in society. A diverse team can overlook these issues if they lack awareness or understanding of specific biases. Therefore, while increasing team diversity is a step in the right direction, it must be coupled with comprehensive bias training and robust ethical guidelines.
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