Legal Risk Analysis for Artificial Intelligence Generated Content (AIGC)
DOI:
https://doi.org/10.54097/vp5kx286Keywords:
Artificial Intelligence Generated Content (AIGC), Data Training; Legal RiskAbstract
Artificial Intelligence Generated Content (AIGC), exemplified by ChatGPT, has experienced significant advancements in recent years. These advancements are attributed to training language models on extensive datasets, resulting in the acquisition of distinct learning and creative abilities that differentiate them from earlier AI tools. Generative AI has enhanced the productivity of human society's work and education. However, it has also brought up several legal hazards, such as challenges in regulating it under public law and issues of infringement under private law. China's regulatory approach to generative AI should prioritize caution and inclusivity on a broad scale. It should progressively establish a flexible regulatory and governance structure, as well as a comprehensive liability governance system, on a smaller scale.
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