The application of artificial intelligence in the field of medicine has become an important driving force for coupling the gap between basic research and clinical practice and reshaping the diagnosis and treatment paradigm, which has also formed a paradigm challenge to traditional medical ethics education while reshaping the medical decision-making process and doctor-patient interaction mode. In this context, the systematic construction of artificial intelligence ethical literacy among medical school teachers has become a key issue in promoting the intelligent transformation of medical education. This study responds to the dilemma of medical artificial intelligence ethics education through the integration of theory construction, mechanism analysis and practice path design, constructs a literacy framework that includes cognitive, competence and value dimensions from the intersection of philosophy of technology and medical ethics, reveals the logic of generating ethical literacy from the three-dimensional mechanisms of endogenous drive, exogenous synergy and dynamic evolution, and elucidates the interaction law of subject's cognitive iteration, institutional contextual shaping and risk adaptation. It also elucidates the interaction between the subject's cognitive iteration, institutional situation shaping and risk adjustment. Finally, through the design of a framework for the integration of ethical cognition and technological practice, the innovation of multimodal practical training mechanisms driven by clinical scenarios, and the institutional empowerment of ecological governance, a closed-loop system of collaborative cultivation of artificial intelligence ethical literacy among medical school teachers is formed.

人工智能在医学领域的应用已经成为耦合基础研究与临床实践鸿沟、重塑诊疗范式的重要驱动力，在重塑医疗决策流程与医患互动模式的同时，也对传统医学伦理教育形成范式性挑战。在此背景下，医学院校教师人工智能伦理素养的体系化建构，已然成为推动医学教育智能化转型的关键议题。本研究通过理论构建、机制解析与实践路径设计的整合性研究，系统回应医学人工智能伦理教育的困境，从技术哲学与医学伦理学交叉视角，构建包含认知、能力与价值维度的素养框架，从内生驱动、外源协同与动态演化三维机制揭示伦理素养生成逻辑，阐明主体认知迭代、制度情境形塑与风险调适的相互作用规律。最后通过伦理认知与技术实践的融合框架设计、临床场景驱动的多模态实训机制创新，以及生态化治理的制度赋能，形成医学院校教师人工智能伦理素养协同培养闭环系统。