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.
Building smarter cities: From connected infrastructure to trusted urban services
What makes a city “smart” is not the number of sensors installed across its streets. It is the ability to...
AI for Good | Global Summit
Securing the AI stack: Why trustworthy AI begins with resilience
AI can strengthen cybersecurity, but it can also make attacks faster, more scalable, and harder to detect. This tension was...
AI for Good | Global Summit
One model across many sciences: Zhejiang Lab’s 021 Scientific Foundation...
Different sciences record their observations in different forms. Chemistry uses molecular formulas; genomics uses sequences; astronomy uses images and spectra;...
AI for Good | Global Summit
