Distribution Shift Robustness Audit

Distribution Shift Robustness Audit tests how reliably an AI model performs when deployment data differs from training data, especially in single-domain settings. With test domains, robustness is measured directly; without them, Wasserstein/DRO stress tests estimate plausible worst-case failures.