AI systems are shaped not only by their data but also by the perspectives of those who build them. A development team with limited diversity is more likely to overlook potential biases in AI systems. Encouraging diversity within AI research and development teams can lead to more thoughtful consideration of how AI systems impact various groups, helping to identify and mitigate implicit biases before they are deeply embedded.
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