“A growing class of AI failures operate invisibly—systems appear fully functional on all monitoring dashboards while their decision quality gradually degrades. This represents a critical challenge for AI reliability, requiring engineers to develop new detection methods beyond traditional software failure patterns, as these silent failures could have serious consequences in production environments.”