Never-Skilling

Clinical AI’s safety case assumes a competent clinician will catch its mistakes. But every deployment asks that clinician to supervise the model — removing the reps that build the judgment. A Lancet colonoscopy study shows unaided detection falling six points after AI exposure, and almost nobody measures the skill the system still depends on.

Clinical AI’s safety case assumes a competent clinician will catch its mistakes. But every deployment asks that clinician to supervise the model — removing the reps that build the judgment. A Lancet colonoscopy study shows unaided detection falling six points after AI exposure, and almost nobody measures the skill the system still depends on.