The “Deployment Cliff”: Why Validated Models Fail in the Real World
The transition from a frozen model in a lab to a live tool in a hospital is the most dangerous phase of the AI lifecycle. This is where the “Validation Gap” becomes visible: fewer than 20% of published AI studies undergo rigorous prospective validation. The Validation Gap Retrospective testing (looking at past data) is easy. […]