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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 ethical AI governance should shift from asking whether an AI system is ethical to examining whether its relationship with society is ethical. Using Cambodia as a case study, the paper highlights the limits of universal governance models and proposes an embedded approach informed by sociotechnical theory and Buddhist ethics. It concludes that ethical AI depends less on technical compliance and more on culturally grounded, adaptive governance processes.
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.…
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…
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…
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…
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…
This article examines the growing use of artificial intelligence in Cambodia and the urgent need to address ethical and privacy concerns that come with it.…