Silent Measurement Failures Are Undermining AI – The New ‘Evaluation Blindness’ Threat
The paper defines ‘evaluation blindness’—when a measurement function reports normal results while the AI system is actually failing. It shows how this blind spot spreads from training reward models to production monitoring, causing silent harms in over half of documented incidents. Fixing measurement infrastructure is now a core correctness issue across the AI lifecycle.