Drift Happens: Stress-Testing AI Policies Before Sensors Lie
Opening — Why this matters now Most AI deployment failures do not arrive wearing a villain costume. They arrive as a camera calibration shift, a slightly worse classifier, a sensor that ages badly, a document parser that misses one field more often than expected, or a retrieval layer that suddenly sees the wrong context with impressive confidence. The policy may still be “the same.” The world it observes is not. ...