Quantitative Study on Artificial Intelligence Governance Policy Texts Under the Framework of the United Nations

Research purposes] Explore the challenges of generative artificial intelligence to global security governance, analyze the evolution of United Nations governance policies, and propose paths to optimize governance models. [Research content] This paper takes 34 current artificial intelligence governance policy texts of the United Nations (as of September 2024), compares the changes in governance themes before and after 2023, and reveals the characteristics of policy layout and transformation logic. [Research Methods] Adopt the quantitative research framework of policy texts and combine the BERTopic theme model to conduct time-series quantitative analysis of policy texts. [Research Conclusion] The United Nations artificial intelligence governance model has shifted from technology-driven to a multidimensional governance system covering ethical norms, data rights and cross-border regulation. It is recommended to adopt a dynamic collaborative governance path to address the global security challenges of generative artificial intelligence.