Policy Interventions and Regulations on Generative Artificial Intelligence: Key Gaps and Core Challenges

This study examines policy interventions and regulation of generative artificial intelligence (AI), focusing on key differences in generative AI policy in the EU, the US, and China. Using a comparative research methodology, the study analyzed the most recent policy documents from these regions through text-mining techniques to assess their key differences in terms of word frequency and specific content. This work highlights the different strategies, goals, and approaches to regulating generative AI across the regions. It found that the EU adopts a more comprehensive and stringent regulation of generative AI, emphasizing regional harmonization and foresight; the U.S. regulation is characterized by pragmatism, closely aligned with industry innovation, and a focus on risk avoidance; while China focuses more on macro-level regulation aimed at promoting innovation and encouraging ecological construction. Participants may be interested in this study because it not only uses up-to-date materials but also employs text-mining methods to present the findings in a clearer way than previous studies. It provides insights into how regulatory policies for generative AI affect the development and practice of digital government. The study sheds light on different countries’ strategies for technology governance, which is crucial for understanding and designing effective digital government policies. In addition, due to the potential of generative AI technologies to deliver public services and drive government transparency, these insights help participants better assess the opportunities and challenges of technological innovation in the digital government space.