Interpretability & Interoperability in AI: The Foundations of Resilient, Trustworthy Machine Learning

This report highlights the urgent need for transparency and control in AI systems, especially in high-risk sectors like finance, healthcare, and government. It introduces Authentrics’ Machine-Learning Resilience Infrastructure (MRI), which enables model visibility, auditability, and precise in-place corrections without retraining. By addressing both interpretability and interoperability, MRI transforms AI from a “black box” into a compliant, trustworthy system fit for today’s regulatory and operational demands.