Machine learning's foundational reliance on learning correlations from data encompasses multiple dimensions of potential spuriousness (relevance, generalizability, human-likeness, and harmfulness) that go beyond simple causal/non-causal relationships, with significant implications for responsible AI development and deployment.
Nina Baghdasaryan
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The Multiple Dimensions of Spuriousness in Machine Learning
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