Artificial intelligence is rapidly emerging as a general-purpose capability across higher education, reshaping how universities teach, assess learning, conduct research, develop talent, support lifelong learning and advance their public-interest mandate. The roundtable examined this transformation from the perspectives of university leadership, industry and international cooperation. Universities occupy a distinctive position in the AI ecosystem. They are users of AI in teaching and research, producers of AI knowledge and talent, and custodians of academic values, including integrity, rigour, openness, inclusion and service to society. This dual role requires universities to innovate while putting policies, safeguards and institutional capabilities that ensure the responsible use of AI. The discussion emphasized the need for universities to adopt a hybrid AI governance model: an institution-wide AI policy establishing common principles, accountability arrangements and risk-management expectations, complemented by domain-specific guidance for teaching and learning, research, assessment, procurement, ethics, data governance, accessibility and partnerships.
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