"Never-Skilling" in AI-Assisted Medical Training
LuizaJarovsky · x · 2026-07-19
The post discusses the risk of "never-skilling": if medical trainees lean too heavily on AI during their formative early years, they may fail to develop the foundational reasoning required for safe, independent practice.
A referenced paper abstract further categorizes the risks:
- never-skilling: Failing to build foundational skills from the start
- deskilling: Erosion of skills in experienced clinicians
- mis-skilling: Internalizing AI hallucinations as facts
The author argues that AI isn't inherently harmful; the key is when and how it's introduced. They propose a three-stage framework: first build AI-independent foundational skills, then apply critical calibration through structured teaching, and finally integrate AI into training under supervision.
Related event: The Risk of "Never-skilling" in Medical Training(2 posts)→
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