从合规到胜任力：本科医学教育 AI 治理三层框架
From compliance to competence: a multi-level model for AI governance in undergraduate medical education
医学院怎么管学生用 AI？这篇论文按院校、教师、学生三层给方案，主张管出胜任力而非一刀切禁止。
发表于 npj Digital Medicine（2026年10月14日）的论文指出，医学院校现有的 AI 政策多停留在即时行为限制层面，战略监督、基础设施与评估体系建设滞后。作者提出覆盖院校、教师、学生三层的 AI 治理框架，核心为问责（accountability）、胜任力（competence）、共同责任（co-responsibility）三项原则。框架面向本科医学教育，设计意图是让快速演进的 AI 从威胁转化为集体进步的机遇，而非仅靠禁令约束。
From compliance to competence: a multi-level model for AI governance in undergraduate medical education
npj Digital Medicine, Published online: 14 October 2026; doi:10.1038/s41746-026-03390-y AI's fast-paced irruption in medicine and education has challenged undergraduate medical colleges, with institutions documenting policies emphasizing immediate conduct restrictions, while strategic oversight, infrastructure and evaluation remain less consistently developed. We propose a multi-level framework for AI governance in undergraduate medical education based on accountability, competence and co-responsibility across institutions, educators and students, designed to turn a fast-evolving technology from a threat into an opportunity for collective progress.