European and American Artificial Intelligence Regulatory Models and Policy Implications
With the multi-scenario application of generative artificial intelligence represented by ChatGPT,the potential risks of technological iteration and upgrade bring new regulatory challenges.This article systematically reviews the current dynamic practices of AI regulation in major economies,analyzes typical regulatory models and their practical dilemmas,and attempts to propose corresponding measures based on this analysis.The research findings reveal that as AI technology is widely applied,underlying issues such as supply chain security,privacy protection,digital intellectual property,digital ethics,digital divide,and algorithm bias are gradually becoming prominent,posing challenges to regulation.Furthermore,there are significant differences among countries in various aspects,including the fundamental concepts,value ideals,and strategic choices regarding AI regulation.Currently,major economies are continuously seeking a balance between innovation and regulation in the field of AI,resulting in typical regulatory models represented by the European Union and the United States and the United Kingdom.In the future,AI regulation will aim to achieve the optimal balance between security and development through both"restrictions"and"promotions"while upholding human agency.It is crucial for China to grasp the patterns and trends of AI regulation,further coordinate development and security,and adhere to a problem-oriented and goal-oriented approach.By fully utilizing new technologies in the field of AI and appropriately drawing upon the experiences and practices of developed countries such as the United States and Europe,China can gradually construct an AI regulatory model that aligns with its own actual situation.
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