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.