Navigating the Risks of Generative AI: A Comparative Analysis of International Regulatory Approaches
Huang Xinbo, Liu Guo · Problemy Ekorozwoju · 2025
The rise of Generative Artificial Intelligence (Generative AI) offers transformative potential for productivity and creativity but also introduces significant risks that challenge current AI regulation frameworks. This study systematically investigates these risks, including security vulnerabilities, privacy concerns, copyright infringements, and algorithmic biases. It critically assesses the effectiveness of existing regulatory approaches in managing these issues. Through a comparative analysis of regulatory practices in the European Union, the United States, the UK, and China, the study reveals diverse strategies ranging from stringent risk-based models to flexible market-driven approaches. The findings underscore the need for a dynamic and adaptable regulatory framework that can effectively balance the rapid advancement of Generative AI with the imperative to protect public interest and promote innovation. This paper concludes by advocating for the development of adapting regulatory approaches to address the evolving challenges posed by Generative AI.