This article examines the rapidly evolving global legal landscape of artificial intelligence (AI) and intellectual property from 2025 to 2026, focusing on regulatory updates and pivotal litigation in the United States, the European Union, the United Kingdom, and Cambodia. It details how recent developments—such as the implementation of the EU AI Act, new reports from the US Copyright Office, and fact-specific federal court rulings—are pushing AI copyright frameworks toward principles of data transparency, voluntary licensing, and creator protection against market substitution. Furthermore, the paper clarifies the overlapping compliance risks between copyright law, data protection, and broader AI governance. It concludes with practical risk-management recommendations for AI developers, content creators, and businesses, while offering Cambodia as a case study for how developing nations can build balanced, autonomous AI policies tailored to their unique domestic and regional realities.
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…