Current status of artificial intelligence governance and the challenges of artificial intelligence governance in the meteorological community

The global AI (Artificial Intelligence) governance is currently evolving rapidly as the international community are jointly exploring the construction of a comprehensive and interconnected governance ecosystem. The United Nations has played a pioneering role in consolidating the core position of global AI governance, issuing a series of universal ethics and rules aimed at establishing a consensus framework. Leading AI technology entities such as the United States, the European Union, and the United Kingdom are accelerating the strategic layout of AI governance, striving to shape a coordinated and highly collaborative international governance system. Meanwhile, they are also competing for international discourse power in the field of AI governance. China has taken solid steps on the path of AI governance. By proposing the "Global AI Governance Initiative", China not only demonstrates a comprehensive perspective of development, security, and governance theoretically, but also promotes the transition of AI governance from rule-making to practical implementation through specific measures such as algorithm registration, assessment and evaluation, and post-event traceability checks. International organizations' AI governance norms and ethical initiatives for specialized fields such as education, medical care, and health also provide strong regulation and support for the development of related industries. Despite the above efforts, the governance of AI in the meteorological field on a global scale is still in a nascent state. Domestic and international efforts to establish guidelines, methods, and regulations for AI governance in the meteorological field are just beginning, and regulations and system standards are urgently needed. This article reviews the current status of AI governance in the United Nations and major AI technology countries and related international organizations, analyzes the unique challenges of AI application risks and governance in the meteorological field, and provides a global perspective for constructing an AI governance system in the meteorological community.