Global AI governance is transitioning from the establishment of principles to regulatory implementation, yet fragmentation remains an issue. We are now entering a phase of regulatory diversification characterized by clearer rules and more divergent models. The United Nations should play a central role in norm-setting and coordination, ensuring that AI governance aligns with broader human development goals. Accountability, sovereignty, and interoperability are key issues, while asymmetrie

AbstractThe era of artificial intelligence may further exacerbate global development inequalities, while current discussions on AI governance have yet to adequately reflect the interests of Global South nations. In response, low-to-medium technology should serve as the fulcrum for social innovation, with China and Indias digital transformation initiatives becoming pivotal to the development of Global South countries. Additionally, vigilance is needed against the emergence of new monopolies. The

Currently, AI is moving from technological breakthroughs to application expansion, but governance paths and discourse are still lagging behind.AI governance can be grasped from two dimensions: one is capability governance, the pain point of which lies in the continuous increase in barriers to trade, policy and technology acquisition; the other is subject governance, the difficulty of which lies in how to identify common challenges across countries and systems and establish enforceable me

A few days ago,Center for Global AI Innovative Governance releasedthe bilingual versionof the reportNew Trends in Global Artificial Intelligence Governance:Observations from the Shanghai Declaration. In order to have a more comprehensive understanding of the current complex situation of global artificial intelligence governance and listen to more diversified, cross-disciplinary and cross-national voices, the project team interviewed authoritative experts and related practitioners in