A survey of 61 AI/ML practitioners finds that while most believe diverse teams and data reduce bias, actual practices like bias audits and post-development D&I checks are inconsistent and often missing.
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Diversity and Inclusion in AI: Insights from a Survey of AI/ML Practitioners
A survey of 61 AI/ML practitioners finds that while most believe diverse teams and data reduce bias, actual practices like bias audits and post-development D&I checks are inconsistent and often missing.