concept drift

Models decay silently as the world shifts, and 'monitor for drift' is too vague. The signal is the actual statistical methods and distinguishing data drift you can detect without labels from concept drift you often cannot.

Three drifts get casually lumped together, but they have different detectability and different fixes. The interview signal is knowing which you can catch without labels and which one genuinely demands a new model.