CDSP uses an effect-size asymmetry assumption and statistical power to estimate causal directions from bivariate data with uncertainty, reducing false discoveries by 18% on 100 benchmark pairs.
proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining , pages=
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Causality resolves trade-offs in trustworthy AI by treating them as invariance conflicts under different data-generating process changes.
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Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution
Causality resolves trade-offs in trustworthy AI by treating them as invariance conflicts under different data-generating process changes.