Criminal Law Regulation of AI face-swapping crimes: Responsible Subjects, Theoretical Integration and Comprehensive Governance Framework
- DOI
- 10.2991/978-2-38476-507-2_14How to use a DOI?
- Keywords
- AI Face-swapping crime; Deepfake; Criminal law regulation; International governance; Platform Responsibility
- Abstract
The abuse of artificial intelligence face-changing technology (Deepfake) constitutes a new type of criminal offense, seriously infringing upon citizens’ portrait rights, reputation rights and privacy rights, and posing a structural challenge to the current criminal law system. This paper, through case analysis and international comparative studies, points out that AI face-swapping crimes have significant difficulties in terms of subject determination, evidential force and cross-border accountability. Based on this, a multi-dimensional governance framework centered on “technology - law – society” is proposed, emphasizing the synergy of dynamic legislation, platform responsibility and public education, and providing an operational regulatory path for law enforcement agencies and policymakers.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zhiwen Hao PY - 2025 DA - 2025/12/15 TI - Criminal Law Regulation of AI face-swapping crimes: Responsible Subjects, Theoretical Integration and Comprehensive Governance Framework BT - Proceedings of the 2025 4th International Conference on Public Management, Digital Economy and Internet Technology (ICPDI 2025) PB - Atlantis Press SP - 149 EP - 170 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-507-2_14 DO - 10.2991/978-2-38476-507-2_14 ID - Hao2025 ER -