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This presentation will report a systematic review of AI literacy frameworks and teaching practices for medical students, with a focus on responsible and ethical clinical use of AI. Synthesizing existing frameworks and empirical studies, the review examines which AI literacy competencies are commonly emphasized and how they are enacted in educational practice. Findings show broad agreement on foundational AI knowledge and responsible use, alongside substantial variation in technical expectations and limited integration of ethical, clinical, and regulatory considerations in teaching practice. The presentation highlights a persistent theory-practice gap and discusses implications for aligning AI literacy education with ethical responsibilities in AI-enabled healthcare.
