东北大学学报(社会科学版) ›› 2025, Vol. 27 ›› Issue (3): 98-105.DOI: 10.15936/j.cnki.1008-3758.2025.03.011

• 法学研究 • 上一篇    下一篇

生成式人工智能对虚假信息犯罪制裁体系的挑战及其应对

杨建民   

  1. 南京师范大学 法学院,江苏 南京 210023
  • 收稿日期:2024-04-14 出版日期:2025-05-25 发布日期:2025-06-17
  • 作者简介:杨建民,南京师范大学讲师,法学博士。
  • 基金资助:
    国家社会科学基金重大项目(22&ZD339)

Challenges and Responses of Generative Artificial Intelligence in the Punishment System for False Information Crimes

Jianmin YANG   

  1. School of Law,Nanjing Normal University,Nanjing 210023,China
  • Received:2024-04-14 Online:2025-05-25 Published:2025-06-17

摘要:

随着生成式人工智能的规模化应用,如何应对其所带来的信息失实风险成为了重要的社会议题。评估结果显示,在生成式人工智能作为虚假信息编造主体这一应用情境中,由于风险行为类型的新增,现行虚假信息犯罪规制体系无法有效应对。在治理方案的选择上,有限的自主性这一技术特质决定了赋予生成式人工智能有限法律人格的治理路径不具实效,还是要将规制重点着眼于生成式人工智能背后的行为主体。在坚持法益保护与自由保障相平衡的规制理念下,应当采取多维共治的刑事治理方案。在风险治理全过程中,以自动生成信息的水印标识为联结,坚持前置法优先、刑法保障的规制进路,形成不同主体间的上下联动。在生成维度上,对服务提供者课予信息标识义务;在传播维度上,适度地将标识消除行为犯罪化,以此严密刑事法网。

关键词: 生成式人工智能, 信息失实风险, 虚假信息犯罪, 水印标识, 标识消除行为

Abstract:

With the large-scale application of generative artificial intelligence, how to deal with the risk of inaccurate information it brings has become an important social issue. The evaluation results show that in the application scenario of generative artificial intelligence as the subject of false information fabrication, the current regulatory system for false information crimes cannot effectively respond due to the addition of risk behavior types. In the selection of governance plans, the limited autonomy of technology determines that the governance path that endows generative artificial intelligence with limited legal personality is not effective, and the regulatory focus should still be on the behavioral subjects behind generative artificial intelligence. Under the regulatory concept of balancing the protection of legal interests and the protection of freedom, a multidimensional co-governance criminal governance plan should be adopted. In the entire process of risk management, the automatic generation of information watermark identification is used as a link, adhering to the regulatory approach of prioritizing preexisting laws and criminal law protection, and forming a top-down linkage between different entities. In terms of generation dimension, information identification obligations should be imposed on service providers, and in the dimension of dissemination, identification elimination behaviors should be appropriately criminalized in order to tighten the criminal law net.

Key words: generative artificial intelligence, risk of information inaccuracy, false information crimes, watermark identification, identification elimination behaviors

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