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论人工智能创作中的著作权侵权风险及因应

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[目的]探讨人工智能(AI)深度学习应用与著作权保护的冲突与协调机制,以平衡技术创新与权益保护的关系,提出合理的著作权法应对策略.[方法]通过对AI深度学习的应用现状进行分析,结合著作权法的相关规定,研究AI创作过程中的著作权侵权风险形成机制.并且,以百度文心一言等为例,详细研究了AI创作的3个阶段.[结果]著作权侵权风险主要来源于数据输入和输出阶段.在AI创作的数据输入阶段,对既有作品的搜集和处理可能涉及侵权问题;在输出阶段,AI生成的作品著作权归属复杂,涉及AI模型与人的独创性输入.此外,不同数据来源也带来了不同的侵权风险.在已有制度的框架下,AI创作很难避免违法利用数字作品.[结论]建议对合理使用条款加以修改,将AI创作纳入合理使用的框架内,将灰色地带的AI产业合法化.
Risks and Solutions of Copyright Infringement in Artificial Intelligence-generated Creations
[Purposes]This paper aims to explore the conflicts and coordination between the application of Artificial Intelligence(AI)deep learning and copyright protection,in order to balance technological in-novation and rights protection,and propose reasonable copyright law countermeasures.[Methods]By ana-lyzing the current application status of AI deep learning and combining relevant provisions of copyright law,the mechanism of copyright infringement risk formation in the AI creation process is studied.Taking examples such as Baidu's Wenxin Yiyan,the three stages of AI creation are studied in detail.[Findings]It is believed that the main risks come from the data input and output stages.In the data input stage of AI creation,the collection and processing of existing works may involve infringement issues.In the output stage,the copyright ownership of AI-generated works is complex,involving the originality input of AI models and humans.In addition,different data sources also bring different infringement risks.At the same time,within the framework of existing systems,it is difficult to avoid illegal use of digital works in AI creation.[Conclusions]It is suggested to modify the fair use terms to include AI creation in the fair use framework,thereby legalizing the gray area of the AI industry.

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贵州财经大学,贵州 贵阳 550025

人工智能 著作权 合理使用

2024

河南科技
河南省科学技术信息研究院

河南科技

影响因子:0.615
ISSN:1003-5168
年,卷(期):2024.51(24)