ML researchers assess spurious correlations via four pragmatic frames (relevance, generalizability, human-likeness, harmfulness) rather than a fixed statistical definition.
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The Pragmatic Frames of Spurious Correlations in Machine Learning: Interpreting How and Why They Matter
ML researchers assess spurious correlations via four pragmatic frames (relevance, generalizability, human-likeness, harmfulness) rather than a fixed statistical definition.