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.
Released: 31 August 2026Author: Alda Waddel, PhD Candidate
This paper explores the macroeconomic “AI displacement trap,” arguing that simultaneous global automation destroys the primary engine of economic demand by eliminating human wage income.…
Released: 26 July 2026Author: SAIDNATTAR Ryanna, Ph.D. Candidate in Science and Technology Policy
This examines how small states can navigate digital sovereignty within an AI landscape dominated by major powers like the United States and China. Rather than…
Released: 28 February 2026Author: MAY Thu, PhD in Computer Engineering
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…
Released: 19 February 2026Author: CHHEM Kieth Rethy, MD, PhD (Edu), and PhD (His)
This reflective essay explores how technological change reshapes the meaning of sovereignty, particularly for small nations navigating the AI era. Drawing on a multidisciplinary career…
Released: 11 February 2026Author: LIM Sengkhoun, MD, MHPE, International FAIMER Fellow
Effective use of generative AI (GenAI) requires transitioning from a “single-tool mindset” to a deliberate system that aligns task purposes with specific model capabilities, operational…
Released: 5 February 2026Author: ALDA Waddell, PhD Student
This paper critiques dominant AI ethics frameworks that focus on machines rather than the social and cultural contexts in which they operate. It argues that…