Glossary · Technical concept
Drift (model)
Degradation in model performance over time, typically caused by shifts in the input data distribution (data drift) or in the relationship between inputs and outputs (concept drift). Detected via ongoing monitoring of model outputs + prediction statistics + business-outcome KPIs. Triggers retraining, recalibration, or retirement.
Framework references
- NIST AI RMF Measure 4.3