At present, the global governance of artificial intelligence is facing structural challenges such as the fragmentation of governance mechanisms, the widening North-South gap in technological capabilities, the imbalance of discourse power, and insufficient coordination among multiple stakeholders. Promoting the benevolent application of AI and making it a public good rather than a tool for geopolitical competition has become a crucial issue in global governance. China

Artificial Intelligence is becoming deeply embedded into the global cyberspace governance architecture. With its capacity for high-efficiency data processing and risk detection, AI is transforming key dimensions of governance—ranging from operational effectiveness and actor configurations to procedural dynamics and institutional design. It is essential to recognize that human agency remains indispensable. AI lacks the capacity for normative reasoning and institutional

Global AI safety governance is advancing on multiple tracks simultaneously. Competition among developed countriesfor dominance in shapingsafety and development agendas has heightened the risk of fragmented regulations, while countries of the Global South, with China as aprominent example, are promoting governance transformation through regulatory construction, platform establishment, and international cooperation. Although the Global South faces urgent needs for AI