I-SAFE uses Wasserstein Coherence Metrics to audit distributional coherence of scientific AI models under structurally guided perturbations, revealing differences among DTI predictors that accuracy metrics miss.
Causal inference by using invariant prediction: identification and confidence intervals.Journal of the Royal Statistical Society: Series B, 78(5):947–1012, 2016
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I-SAFE: Wasserstein Coherence Metrics for Structural Auditing of Scientific AI Models
I-SAFE uses Wasserstein Coherence Metrics to audit distributional coherence of scientific AI models under structurally guided perturbations, revealing differences among DTI predictors that accuracy metrics miss.