Abstract: Faced with the high complexity and uncertainty of artificial intelligence governance,it is urgent to break through the traditional governance paradigm and iteratively upgrade to agile AI governance.Agile governance adheres to the concept of people-oriented and technology for good,highlighting the core characteristics of diversity balance,flexible response,dynamic adjustment,and collaborative interaction.It is the key path to achieving “ethical intelligence,responsible implementation,and effective governance”.Its development is driven by multiple driving forces:the external forces include the call of the Industry 4.0 era,strategic guidance at the national level,support and guarantee from government departments,and active exploration by enterprises;the endogenous driving force originates from the organic integration of the internal needs of traditional paradigm innovation and the dual attributes of artificial intelligence.As a long-term systematic project,promoting agile governance of artificial intelligence requires the establishment of agile concepts and culture,innovative application of governance tools that combine rigidity and flexibility,the establishment of dynamic adjustment mechanisms with tension and relaxation,and the construction of a governance pattern with diverse collaborative participation,in order to achieve stability and long-term success.

Key words: agile governance, artificial intelligence, governance paradigm