Author

Mario Trapp

2 papers indexed here

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Preprint Aug 2026

CUBICS: Situation-aware performance estimation for safety-relevant ML components

CUBICS partitions the operational design domain into situations and, for each safety-relevant component, defines a set of situation-specific assumptions and probabilistic guarantees that are represented and updated in a Bayesian manner using Subjective Logic (SL).

Benjamin Herd, Jessica Kelly, Mario Trapp · 0 citations

Open access Jul 2026

Safety design guidelines for clinician–AI interaction in computer-aided diagnosis systems using system-theoretic framework with explainability validation

Ensuring the safety of Artificial Intelligence-enabled Computer-Aided Diagnosis systems is critical because diagnostic errors can have serious consequences for patient care. However, existing regulatory and risk management frameworks often do not sufficiently address the complex socio-technical interactions between cli...

Yuki Hagiwara, Katherine Fitch, Mario Trapp · Scientific Reports · 0 citations