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University of Tübingen, AI Center
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Accuracy in AI compliance is a battleground of conflicting interpretations, revealing deep fractures between legal and technical expectations that could impede progress.
Classical data processing inequality fails in constrained learning, revealing a need for a new framework to understand Bayes risk in these settings.