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生成式人工智能服务的版权侵权风险与化解路径

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数据和算法是生成式人工智能服务的核心要素,生成内容质量水平与数据的规模与质量密切相关.高质量的数据往往涉及著作权的保护,由于著作权保护以及市场主体的逐利性,服务提供者往往通过数据抓取的方式获取数据进行训练,对于训练数据的版权侵权往往反映在生成内容中,损害著作权人合法权益,不利于行业健康发展.鉴于生成式人工智能服务提供者在数据输入以及算法设计上的较强控制力,应明确生成式人工智能存在的版权风险,理清以ChatGPT为代表的生成式人工智能服务版权侵权风险动因,从服务提供主体和法律制度调整两个层面构建受版权保护数据有序使用架构,鼓励创新,促进数字内容产业健康发展.
Copyright Infringement Risks and Mitigation Paths for Generative AI Services
Data and algorithms are the core elements of generative AI services,and the quality level of generated content is closely related to the scale and quality of data. High-quality data often involves copyright protection,due to copyright protection and the profit-seeking nature of market entities,service providers often obtain data for training through data scraping,and copyright infringement of training data is often re-flected in the generated content,harming the legitimate rights and interests of copyright owners and not conducive to the healthy development of the industry. In view of the strong control of generative AI service providers over data input and algorithm design,the copyright risks existing in generative AI should be clarified,the causes of copyright infringement risks of generative AI services represented by Chat GPT should be clari-fied,and an orderly use framework for copyrighted data should be constructed from the two levels of service providers and legal system adjust-ments,so as to encourage innovation and promote the healthy development of the digital content industry.

Generative artificial intelligenceCopyright riskFair useService providers

崔汪卫、苏晓红

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安庆师范大学 法学院,安徽 安庆 246133

生成式人工智能 版权风险 合理使用 服务提供者

国家社会科学基金后期资助项目

19FFXB040

2024

安庆师范大学学报(社会科学版)
安庆师范学院

安庆师范大学学报(社会科学版)

CHSSCD
影响因子:0.25
ISSN:1003-4730
年,卷(期):2024.43(4)