AIF Insights No. 28 (2026) | AI, Gettier, and the Illusion of Knowing
This article explores the epistemological challenges posed by generative AI by applying Edmund Gettier’s classic problem—where a belief is true purely by accident or based…
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Author
CHEAB Sambath, MD, MHPE, PhD student (STS)
Category
As generative artificial intelligence (GenAI) becomes increasingly embedded in health professions education, clinical practice, and research, technical fluency alone no longer guarantees professional readiness. This insight article explores what it means for healthcare professionals to be “AI-ready,” shifting the focus from tool mastery to the preservation of professional judgment, clinical accountability, and ethical safeguards. Emphasizing practical, real-world application over abstract theory, the author highlights the critical importance of a human-in-the-loop approach, rigorous verification habits, and explicit contextual awareness, particularly within resource-constrained healthcare settings like Cambodia. Ultimately, the paper provides actionable frameworks—including a tiered risk alignment model and a reflective self-assessment checklist—to ensure that clinicians, educators, and medical students utilize GenAI safely to enhance efficiency while maintaining absolute human accountability for patient outcomes.