With the explosive development of generative artificial intelligence (AI), its outputs, while empowering society, have also triggered significant criminal legal risks. This paper focuses on three typical behaviors: using AI to generate false information, creating deepfakes, and infringing copyright, analyzing in depth the challenges in their qualification under the current criminal law system. The study finds that these difficulties are mainly reflected in the ambiguity of act characterization, the complexity of identifying criminal subjects, the difficulty in proving subjective culpability, and gaps in the scope of criminal law regulation. To address these dilemmas, this paper proposes adhering to a proactive yet prudent view of criminal law, effectively regulating the criminal risks of AI-generated content through reasonable interpretation of existing charges, exploring the addition of specific offenses, and constructing a tiered legal responsibility system, thereby seeking a balance between encouraging technological innovation and maintaining social order.

Xihui Liu. Defining and Regulating Criminal Legal Risks of AI-Generated Content. The Frontiers of Society, Science and Technology (2025), Vol. 7, Issue 8: 28-33. https://doi.org/10.25236/FSST.2025.070805.

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