From AI Literacy to Appropriate Reliance: An Unresolved Educational Question in Medical Education

Hosseini, Seyed Reza; Abasikia, Alireza

doi:DOI:10.22088/crms.9.2.81

Volume 9, Issue 2 (2-2025) CRMS 2025, 9(2): 81-83 | Back to browse issues page

‎ DOI:10.22088/crms.9.2.81

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Hosseini S R, Abasikia A. From AI Literacy to Appropriate Reliance: An Unresolved Educational Question in Medical Education. , CRMS. 2025; 9 (2) : 11
URL: http://crms.mubabol.ac.ir/article-1-248-en.html

From AI Literacy to Appropriate Reliance: An Unresolved Educational Question in Medical Education

Seyed Reza Hosseini ^*

, Alireza Abasikia

Faculty of Nursing and Midwifery, Babol University of Medical Sciences, Babol, Iran , seyed265reza@gmail.com

Abstract: (102 Views)

Generative artificial intelligence (AI) is increasingly used in medical education to explain concepts, discuss clinical cases, and provide feedback. Yet awareness of AI’s limitations does not necessarily enable learners to evaluate individual outputs accurately. This correspondence distinguishes AI literacy and readiness from observed performance in judging AI-generated clinical information. Existing studies suggest that learners may struggle to identify inaccurate or misleading outputs, while findings on advice-taking and AI-supported teaching vary by task and outcome. General warnings and self-reported readiness scores alone cannot demonstrate reliable appraisal of a particular recommendation. Medical education therefore needs a clearer account of what constitutes context-sensitive evaluation of AI-generated information and how such judgement should be recognized.

Article number: 11

Keywords: Medical education, generative artificial intelligence, AI literacy, appropriate reliance, clinical judgement, automation bias

Full-Text [PDF 1016 kb] (33 Downloads)

Type of Study: Letter to the Editor | Subject: آموزش پزشکی
Received: 2026/10/25 | Accepted: 2026/11/1 | Published: 2026/11/1