HKUST PPOL | Newsletter Spring 2023 13 Research Showcase Papyshev, Gleb, and Masaru Yarime. “The State’s Role in Governing Artificial Intelligence: Development, Control, and Promotion Through National Strategies.” governments across the globe have issued, using qualitative content analysis and Latent Dirichlet Allocation (LDA) topic modeling methodologies. The findings of the qualitative content analysis highlight thirteen functions of the state, which include human capital, ethics, R&D, regulation, data, private sector support, public sector applications, diffusion and awareness, digital infrastructure, national security, national challenges, international cooperation, and financial support. These functions are combined into three general themes, representing the state’s role: development, control, and promotion. LDA his study investigates the texts of 31 national artificial intelligence (AI) strategies that numerous T topic modeling results are also reflective of these themes. Each general theme is present in every national strategy’s text, but with different proportions. The combined typology based on two methods reveals that the countries from the postSoviet bloc and East Asia prioritize the theme “development,” highlighting the high level of the state’s involvement in AI innovation. It is found that the countries from the EU focus on “control,” which reflects the union’s hard stance on AI regulation, whereas countries like the UK, the US, and Ireland emphasize a more hands-off governance arrangement with the leading role of the private sector by prioritizing “promotion.” Policy Design and Practice (2023): 1-24.