Abstract: To explore a data governance framework for artificial intelligence (AI), this paper aims to clarify the layout and progress of data governance actions within current global AI strategies, thereby promoting the optimization of AI policy systems in the context of digital intelligence transformation. This paper conducts a statistical analysis of AI policies released by government departments in various countries and regions, extracting policy provisions related to data governance. Using content analysis, this paper outlines a data governance framework for AI and proposes directions for optimization based on the existing framework. It is found that the current policy framework for AI-oriented data governance includes four key points: data subjects, data objects, data lifecycle management, and data security. While showing reference points, it also reflects the optimization construction direction of the data governance framework for artificial intelligence from strengthening the participation of data management institutions, highlighting the orientation of professional resource construction, supplementing key links, and optimizing phased focus configuration.

Key words: Artificial intelligence, AI governance, Data governance, Digital intelligence transformation, Data policy, Policy texts