This paper explores the Buddhist concept of nāmarūpa—“name and form”—and its relevance to the development of human-centered artificial intelligence (AI). Rooted in the principle of dependent origination, nāmarūpa describes the interdependence of mental and physical phenomena, emphasizing impermanence, co-arising, and ethical intentionality. The authors argue that this philosophical framework offers valuable guidance for AI design by promoting contextual awareness, process orientation, embodied cognition, and ethical accountability. Integrating these principles encourages a shift away from static, reductionist models toward AI systems that are adaptive, relational, and morally responsive. By framing cognition as both logical and ethically charged, nāmarūpa supports the creation of technologies that respect human dignity, acknowledge the fluid nature of experience, and foster ongoing ethical reflection. This perspective positions Buddhist thought as a timely and practical resource for ensuring that technological innovation aligns with human values in an increasingly complex world.
Released: 17 December 2025Author: CHHEM Kieth Rethy, MD, PhD (Edu), and PhD (His)
This article argues that for small states, survival in an era shaped by great power rivalry, war economy dynamics, and artificial intelligence depends on scientific…
Released: 30 November 2025Author: CHHEM Kieth Rethy, MD, PhD (Edu), and PhD (His)
The Khmer Path Beyond AI explores how a mistranslation of “artificial intelligence” in Cambodia opened a deeper conversation about the difference between intelligence and wisdom.…
Released: 31 October 2025Author: CHHEM Kieth Rethy, MD, PhD (Edu), and PhD (His)
This essay examines the Khmer ethical system of Gatilok as a culturally grounded framework for AI ethics. Unlike Western approaches that prioritize universal principles, Gatilok…
Released: 10 October 2025Author: CHHEM Kieth Rethy, MD, PhD (Edu), and PhD (His)
The essay explores how Buddhist philosophy can reshape the way we understand and design artificial intelligence. It argues that AI should not be seen as…
Released: 26 September 2025Author: CHHEM Kieth Rethy, MD, PhD (Edu), and PhD (His)
This paper explores the intersection of David Hume’s empiricism and Nāgārjuna’s Madhyamaka philosophy as a framework for rethinking artificial intelligence. Hume’s bundle theory of the…
Released: 14 September 2025Author: SAY Vithya Arthur, MA in Business Innovation (MBI) | ROS Sayumphu, MA in Security, Conflict and International Development, LLM in International Law
Artificial Intelligence (AI) is transforming healthcare, transportation, and communication. This article traces the evolution and categorization of AI, while exploring ethical concerns such as bias…