北京邮电大学学报(社会科学版) ›› 2024, Vol. 26 ›› Issue (4): 27-35.doi: 10.19722/j.cnki.1008-7729.2024.0057

• 社会治理 • 上一篇    下一篇

生成技术与视听操纵:AIGC时代深度伪造的内在机理与治理策略

许敏(1981—),女,湖北武汉人,博士,教授   

  1. 上海工程技术大学 管理学院,上海201600
  • 出版日期:2024-08-31 发布日期:2024-09-05
  • 作者简介:许敏(1981—),女,湖北武汉人,博士,教授
  • 基金资助:
    上海市哲学社会科学规划课题(2021BGL008);上海市教委重点课程建设项目(s202303001)

Generative Technology and Audiovisual Manipulation:Internal Mechanisms and Governance Strategies for Deepfake in Age of AIGC

  1. School of Management, Shanghai University of Engineering Science, Shanghai 201600, China
  • Online:2024-08-31 Published:2024-09-05

摘要: 生成式人工智能(AIGC)的迅猛发展为人类的生产生活带来了前所未有的革命性体验,而在推动人工智能产业持续创新的同时,也需正视由此项技术引发的各类风险。近两年,由生成技术驱动的深度伪造内容日益增多,技术操纵者通过虚假信息对公众实施的视听操纵已逐渐成为当今社会亟需应对的重要挑战。立足信息操纵理论,构建了一个涵盖“动机-过程-结果”的综合性理论框架。在此框架下,对操纵者利用深度伪造技术进行视听操纵的动机、手段、传播渠道、所利用的受众弱点和产生的现实影响等多个关键维度进行了细致而深入的探讨,全面揭示了深度伪造整个过程的内在机理。在此基础上,进一步从敏捷治理、技术创新和全球共治三个方面提出针对性的治理策略。

关键词:  , 生成式人工智能;深度伪造;内在机理;治理策略

Abstract:  The rapid development of artificial intelligence generated content (AIGC) has brought unprecedented and revolutionary experience for human production and life, while promoting the continuous innovation of the AI industry, it is also necessary to face up to the various types of risks arising from this technology. In the past two years, the amount of deepfake content driven by generative technologies has been increasing, and the audiovisual manipulation of the public by technological manipulators through false information has gradually become a severe challenge that needs to be addressed in today’s society. Based on the theory of information manipulation, a comprehensive theoretical framework covering “motive-process-result” is constructed. Under this framework, a detailed and in-depth discussion is made on the key dimensions of manipulators’ motives, means, communication channels, audience weaknesses and real-world impacts of audiovisual manipulation by means of deepfake technology, and the internal mechanisms of the whole process of deepfake has been comprehensively revealed. On this basis, targeted governance strategies from three aspects of agile governance, technological innovation and global co-governance are proposed.

Key words: artificial intelligence generated content, deepfake, internal mechanisms, governance strategies

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