生成式人工智能的著作权及其风险规避研究
A Study on the Copyright of Generative Artificial Intelligence and Its Risk Avoidance

人工智能进入更加智能的生成式时代，社会治理局面复杂多变，技术飞速发展与立法滞后性之间存在着矛盾，新型纠纷不断涌现，现有法律体系难以覆盖新领域的社会治理困境，出现了无法可依的现象，科技的发展倒逼法律的完善。其中，人工智能生成内容的著作权问题和侵权问题是必须面对的社会治理难题，将人工智能生成的内容纳入著作权保护范围已经是时代趋势，且相关司法已经认定AIGC构成“作品”，由使用人享有著作权，但在侵权问题上存在着不同的情况，在输入端，在不损害他人知识产权的情况下，需要立法探索大模型训练数据输入的合法合理路径，在输出端，需要平台采取相关措施降低侵权风险，否则一旦侵权，平台需要承担相应的侵权责任。
The era of artificial intelligence has entered a more intelligent generative phase, with complex and ever-changing social governance situations. There exists a contradiction between the rapid development of technology and the lag in legislation, leading to the emergence of new types of disputes. The existing legal system struggles to cover the social governance dilemmas in new fields, resulting in phenomena where there is no legal basis. The development of technology compels the improvement of the law. Among these issues, the copyright and infringement problems related to AI-generated content are social governance challenges that must be addressed. Including AI-generated content within the scope of copyright protection has become a trend of the times, and relevant judicial decisions have recognised AIGC as constituting a “work”, with copyright held by the user. However, there are different circumstances regarding infringement issues. On the input side, it is necessary to explore legal and reasonable paths for the input of training data for large models without infringing on others’ intellectual property rights. On the output side, platforms need to take relevant measures to reduce infringement risks; otherwise, once infringement occurs, the platform must bear corresponding liability.