Cynthia Rudin

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Duke professor, interpretable ML advocate

Speaks on: AI Ethics AI Governance AI Policy AI Regulation AI Risk

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Location: United States

ai-ethics (1) ai-governance (1) ai-policy (1) ai-regulation (1) ai-risk (1) ai-safety (1) transparency (1)

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Require AI systems above a capability threshold to be interpretable

Cynthia Rudin votes For and says:

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You can't have accountability without transparency. Black box models are not transparent, and they don't mix well with human oversight. Either the human blindly trusts the model—or doesn't trust it at all.
AI Verified source (2026)

added 1mo ago