I-SAFE: Wasserstein Coherence Metrics for Structural Auditing of Scientific AI Models

In three linesI-SAFE is a post-hoc auditing framework for scientific AI models based on the Wasserstein Coherence Metric (WCM). It evaluates whether model predictions reflect domain structure or exploit statistical shortcuts. Tested on drug-target interaction prediction (DeepConvDTI, DeepDTA, TAPB), it reveals distinct distributional response profiles invisible to accuracy metrics.

Summary generated by Claude — human-verified