摘要
近年来,人工智能创作发展势头迅猛,机器学习需要以大量作品作为训练数据,作品的使用如果未经著作权人授权,会引发大量的侵权诉讼。为使机器学习具有法律上的合法原因,著作权限制制度提供了良好的思路。相较于合理使用制度的倾斜保护,法定许可制度从法理学、法经济学和产业学角度具有适用的正当性,能够平衡研发公司和权利人利益。为有效适用法定许可制度,应当通过将机器学习纳入法定许可制度、引入区块链技术和建立市场化的收费报酬机制,使法定许可制度成为一种可取的理想方案和现实安排。
In recent years,artificial intelligence creation has developed rapidly,and machine learning needs to use a large number of works as training data.The use of works without the authorization of the copyright holder will cause a large number of infringement lawsuits.In order to make machine learning have legal legal reasons,the copyright restriction system provides good ideas.Compared with the inclined protection of the fair use system,the statutory licensing system has appropriate legitimacy from the perspective of jurisprudence,law and economics,and industrial science,and can balance the interests of R&D companies and rights holders.In order to effectively apply the statutory licensing system,the statutory licensing system should be a desirable ideal scheme and realistic arrangement by incorporating machine learning into the statutory licensing system,introducing blockchain technology,and establishing a market-based fee-based compensation mechanism.
作者
王艺
石蕾
WANG Yi;SHI Lei(College of Humanity and Law,ShanDong University of Science and Technology,Qingdao 266000,China)
出处
《嘉应学院学报》
2020年第5期47-50,共4页
Journal of Jiaying University
基金
2018年山东省社科规划专项项目(18CHLJ38)
关键词
人工智能
机器学习
合理使用
法定许可
利益平衡
Artificial intelligence
machine learning
fair use
legal permission
balance of interests
