SPEAKERS
Research Consultant UNU Macau | 
Professor Emeritus in the Department of International Business and Trade at Kyung Hee University in Seoul | 
Founder, the Artificial Intelligence International Institute (AIII) | 
Associate Professor of Institute of International and Comparative Education, Beijing Normal University, China
|
PhD Researcher, Sheffield Hallam University, UK
| 
Assistant Professor at the Manchester Institute of Education, University of Manchester | 
Partner, the Artificial Intelligence International Institute (AIII) | 
China Academy of Information and Communications Technology, China |
DESCRIPTION
The panellists will discuss the findings of UNU Macau’s 2026 Policy Report on a Cross-National Study of Governing AI in Higher Education: Human - AI Collaboration and Interoperability. This multi-level study of AI governance policies in higher education across varied countries, including China, the UK, South Korea, Singapore and EU, will systematically examine the convergences and differences among various governance models, analyses the threefold impacts of AI integration on universities' roles and SDGs, identify interoperability pathways for cross-border governance, and provide a reference framework and policy recommendations for integrated AI-Human Collaboration in global higher education. Speakers from China, the UK, South Korea, Singapore, EU and UNU will deliberate on three policy questions: 1) How do higher education policies, university arrangements and disciplinary rules on AI integration shape responsible human-AI collaboration in the core functions of the university? And what shared safeguards, functionally equivalent arrangements, legitimate divergences and opportunities for interoperability emerge from the cross-country study? And why are they important in governing AI’s integration in higher education?
This session is part of the UNU Macau AI Conference 2026.
To view the full program, please visit the program page.
To join the Conference, please visit the registration page.
AI × Education: AI for Learning, Learning for AI
Nov. 25-26, 2026 | Macau SAR, China
AI Conference 2026 | AI for SDGs - Global Youth AI Future Innovation Competition | AI × Education Workshops
