This article examines how Buddhist ethical principles can inform the development and governance of artificial intelligence. It argues that while AI is transforming sectors such as healthcare, education, governance, and finance, its rapid expansion raises serious moral concerns about human dignity, accountability, and social impact. Drawing on core Buddhist teachings, including the Four Noble TruthsContinue reading "AIF Insights No. 10 (2026) | Ethical Integration of Buddhist Principles in AI Development: A Conceptual Reflection"
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AIF Insights No. 18 (2026) | Becoming AI-Ready as a Health Professional: From Using Tools to Exercising Professional Judgment in an AI-Augmented World
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.
