IntroductionAs the global governance of artificial intelligence continues to evolve, the issue of imbalanced AI development is becoming increasingly prominent. China and the United Nations play crucial roles in building sovereign AI capabilities. Currently, three major trends are shaping global AI governance: first, geopolitical factors will persistently influence technological development; second, the scientifically contested nature of AI is likely to endure and impact policy outcomes; and thir

AbstractOver the past year, significant progress has been made in global artificial intelligence governance. With the United Nations at the core, the role of multilateral mechanisms such as the G20 and BRICS has continued to strengthen, while the voice of Global South countries in UN discussions on AI governance has been increasingly amplified. Looking ahead, AI sovereignty is expected to emerge as a new focal point in global AI governance, with smaller-scale mechanisms such as bilateral or mini

AbstractOver the past year, AI governance has entered a critical turning point, urgently requiring expanded global collaboration to achieve inclusive development. Currently, AI governance faces four major challenges: widening the intelligence gap, data security and sovereignty, insufficient AI explainability, and ethical risks. The core tension in global cooperation lies in balancing regulation and innovation, while the United Nations plays a vital role in promoting inclusive, multi-stakeholder

AbstractThe focus of discussions on AI governance is shifting from abstract issues such as ethics and security to technological competitiveness and application implementation.Regions like Central Asia are also actively embracing AI.However, the global governance system still faces two major difficulties: first, some government officials find it difficult to keep up with technological iterations in a timely manner; second, existing initiatives lack implementation and supervision mechanisms.Lookin

AbstractArtificial intelligence has not yet achieved ecological security and equality. While holding great promise, it is also accompanied by significant potential risks. AI governance is therefore particularly necessary, with science, security, and accessibility serving as its three cornerstones. Although AI governance has made milestone achievements such as the Global Digital Compact, it still faces challenges including geopolitical disruptions, disagreements on governance approaches, and inad

AbstractArtificial intelligence has not yet achieved ecological security and equality. While holding great promise, it is also accompanied by significant potential risks. AI governance is therefore particularly necessary, with science, security, and accessibility serving as its three cornerstones. Although AI governance has made milestone achievements such as the Global Digital Compact, it still faces challenges including geopolitical disruptions, disagreements on governance approaches, and inad

AbstractOver the past year, while global AI governance has made positive progress, the divergence in risk concerns between Western countries and Global South countries has hindered cooperation. To build a balanced, inclusive, and forward-looking governance system, attention should be paid to four aspects: First, enhance the Global South countries understanding of the short-term and long-term development of AI as well as its risks; Second, promote cooperation among Global South countries; Third,

AbstractOver the past year, while global AI governance has made positive progress, the divergence in risk concerns between Western countries and Global South countries has hindered cooperation. To build a balanced, inclusive, and forward-looking governance system, attention should be paid to four aspects: First, enhance the Global South countries understanding of the short-term and long-term development of AI as well as its risks; Second, promote cooperation among Global South countries; Third,