人工智能深度伪造技术的风险与治理

Research on the Risks and Governance of AI Deepfake Technology

摘要: 文章聚焦于人工智能领域深度伪造技术的治理研究，系统梳理其技术原理、应用场景，揭示了深度伪造技术伴随其快速发展而带来的个人权利受损、社会秩序混乱及国家安全风险等问题。文章以风险社会理论、技术规制理论、平台治理理论为分析框架，通过对典型国家及地区现有法律法规比较研究，发现我国在当前规制体系中适用法律、责任分配、投诉机制，监管体系等方面存在明显不足。基于此，文章针对性的提出构建多维法律衔接体系、建立分级责任分配框架，设计投诉过滤机制，创新协同监管模式等治理意见，从而为保障人工智能技术的健康发展与社会秩序的稳定提供参考。

Abstract: This paper focuses on governance research concerning deepfake technology within the field of artificial intelligence. It systematically examines the technical principles and application scenarios of this technology, revealing the problems arising from its rapid development, including infringement of personal rights, disruption of social order, and threats to national security. Through a comparative study of existing laws and regulations in representative countries and regions, significant deficiencies are identified in China’s current regulatory framework, particularly concerning applicable laws, responsibility allocation, complaint mechanisms, and the oversight system. Based on this analysis, the paper proposes targeted governance recommendations, such as refining legal applicability, defining clear responsibility boundaries, establishing appropriate complaint thresholds, and innovating regulatory models. These measures aim to provide a reference for ensuring the healthy development of artificial intelligence technology and the stability of social order.