The 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.

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.

A few days ago, Center for Global AI Innovative Governance released the bilingual version of the report New Trends in Global Artificial Intelligence Governance: Observations from the Shanghai Declaration. The interviewees came not only from economically and technologically developed Global North countries, but also from emerging economies and developing countries Global South representatives.