Copyright infringement patterns and risk management in the context of generative AI
Zhao Hongwei,Rukeya·Huojia
(School of Political Science and Law, Xinjiang Normal University, Urumqi 830017, China)
Abstract： Generative artificial intelligence (AI), as a representative of the most advanced science and technology, has made significant strides into people′s lives, but it has also brought about the risk of copyright infringement. Generative AI is different from previous expert systems that only perform simple system analysis or focus on existing data, but can generate novel content through artificial intelligence. The emergence of this technology has had an impact on the current copyright system, and it is urgent to analyze the infringement patterns of generative AI technology. By analyzing the copyright infringement patterns in the context of generative AI technology challenges, the following three suggestions are proposed: in the face of infringement risks in the data input stage, the legal licensing system should be improved; In the face of infringement risks during the data analysis stage, administrative supervision should be strengthened; In the face of infringement risks during the data output stage, it is necessary to optimize platform governance.
