Abstract: The serious risks derived from the rapid development of artificial intelligence have become increasingly prominent, and its governance issue has developed into a major problem of The Times that is of common concern to the global academic community, governments and international organizations, but no breakthrough governance plan has yet been formed. Through the analysis of climate change, a typical case of global governance, it is found that the two have convergence in many aspects such as risk understanding process and governance response path, and relevant historical experience will provide a reference paradigm for AI governance. Using the comparative research method and the historical research method, the development, evolution and governance process of the two are sorted out and compared. The study found that climate governance follows the path of progressive global collaborative governance driven by scientific consensus and responsive to political agenda. Artificial intelligence has accelerated the formation of a broad consensus, from risk identification to global co-governance, and is gradually moving to the political agenda and related actions. In view of this, we can fully learn from the valuable experience of global governance on climate change, negotiate the establishment of a similar artificial intelligence international governance body, reach a global agreement on artificial intelligence, formulate a global governance framework and standards, and unify action plans to effectively promote artificial intelligence global governance.