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In ever-increasing AI policies, the responsive narratives of government policies to public attention have become a crucial aspect of comparative policy analysis. This study obtained the AI policy texts and public web search indexes of China and the United States from 2017 to 2023, summarizes six major policy topics using the LDA method, and constructs a correspondence matrix. The article empirically tests the differences between China and the US in policy responsiveness to public attention on the six topics, and comparatively analyzes the reasons for the different levels of responsiveness in terms of technology development and technological philosophy. The findings indicate that, in general, both Chinese and US AI policies have responded to public attention to some extent. However, there are differences in responsive narratives on topics of application service, technology innovation, risk management, individual development, market competition, and social development. The findings contribute to understanding the correlation between policy responsiveness and public attention in Chinese and US contexts, and enrich the cutting-edge comparative AI policy research.
Han et al. (Mon,) studied this question.