Judicial Judgment Standard of Generative Artificial Intelligence and Training Data from the Perspective of Fair Use

Zhenyi Gao
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Abstract

With the development of generative artificial intelligence, text and data mining has been put into more applications. However, as a technology for collecting and processing a large number of other works, it faces copyright infringement under the current legal system. As a step in the operation of artificial intelligence, text and data mining is to collect and process existing works and information to realize the behavior of knowledge "reproduction", thus promoting the utilization of knowledge and social innovation. Meanwhile, copyright exemption should be provided for its fair use system. The fair use system in the United States can give full play to the autonomy of judges in specific cases and flexibly identify fair use exemptions, while the copyright exception in Europe clarifies that text and data mining activities should be exempted under specific circumstances. Learning from both, China can not only break the closed fair use system, but also build an evaluation system of artificial intelligence infringement and benefit-sharing mechanism, so as to provide scientific norms for fair use and improve the development of artificial intelligence and big data industry in China.
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从合理使用的角度看生成式人工智能和训练数据的司法判断标准
随着生成式人工智能的发展,文本和数据挖掘得到了更多的应用。然而,作为一种收集和处理大量其他作品的技术,在现行法律体系下面临着版权侵权的问题。文本和数据挖掘作为人工智能运行的一个环节,是对已有作品和信息进行收集和处理,实现知识 "再生产 "的行为,从而促进知识利用和社会创新。同时,应为其合理使用制度提供版权豁免。美国的合理使用制度可以充分发挥法官在具体案件中的自主性,灵活确定合理使用的免责事由,而欧洲的版权例外则明确了文本和数据挖掘活动在特定情况下的免责事由。借鉴二者,我国不仅可以打破封闭的合理使用制度,还可以构建人工智能侵权评价体系和利益分享机制,为合理使用提供科学规范,完善我国人工智能和大数据产业的发展。
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