Training Data Distribution Mismatch Causes Operational AI Failure

Executive Summary

AI models trained on unrepresentative data fail when confronted with rare but real operational scenarios, producing unreliable outputs where reliability is most needed. Boards face liability and safety exposure if data governance frameworks do not mandate systematic validation of training-to-operational distribution alignment.