摘要
Abstract
[Research purpose]Amid the development of Generative Artificial Intelligence(GAI),Deepfake has transformed from an entertainment tool into an emerging societal risk with cascading systemic hazards.Its impact spans from individual rights and social order to the international political landscape,forming a cross-domain,multi-level risk pathway.Therefore,systematically analyzing international experience and local practices is crucial for refining China's Deepfake governance and building a system that balances security and development.[Research method]Using a"technology-institution-society"analytical framework,this study examines the generation mechanism and evolutionary path of deepfake cascade risks.Based on comparative research and case analysis methods,this study focuses on three major actors,the United States,the European Union,and China,and examines their strategic differences and practical characteristics in the governance of deepfakes across the entire lifecycle,from four dimensions:technology development,content creation,information dissemination,and social collaboration.By comparing the strengths and weaknesses of different regulatory frameworks,it identifies common challenges and institutional bottlenecks,providing an empirical foundation for optimizing governance pathways.[Research conclusion]Although the governance approaches of the three major actors—the United States,the European Union,and China—each have their own focus,they all face challenges such as delayed identification of cascading risks,fragmented rules,and fragmented governance effectiveness.China should promote the coordinated development of detection and identification,traceability and blocking,and compliance technology by innovating a"technology-embedded"governance paradigm,improving the institutional system,refining platform regulations,and strengthening post-event remedies,and building a multi-stakeholder collaborative governance system led by the government,with platforms fulfilling their responsibilities,industry self-discipline,and public participation,to achieve"good governance"of deepfake technology.关键词
深度伪造/监管/级联风险/全生命周期/风险治理/人工智能Key words
Deepfake/supervision/cascade risk/the whole life cycle/risk governance/artificial intelligence分类
社会科学
