摘要
根据人类是否介入或介入是否具有实质性影响,人工智能生成数据可分为辅助生成数据和自动生成数据。既有学术探讨中,对此的各种保护模式各有优劣,但多集中在一种保护模式的单项选择上。结合"菲林案"与"Dreamwriter案"的判决结果,可对生成数据采取多元分层的保护模式:对独创性的辅助生成数据,可纳入人类作品范畴获得著作权;对具客观"独创性"的自动生成数据,可设立新型邻接权——"数据生成者权"加以保护;辅助与自动生成中都存在不具"独创性"的数据,可采数据财产权保护模式。当数据生成者权、数据财产权尚未设立或设立后保护仍有遗漏的,反不正当竞争法可对人工智能生成数据予以兜底保护。
Data generated by AI(Artificial Intelligence)can be divided into two types:human-led data that uses AI as a tool to assist in generating data,and automated data generated with little human intervention and no credit to humans,or even no intervention completely.The"Filming Case"and the"Dreamwriter Case"have established two types of determination results—the auxiliary generated and original data are classified as human works;while for automatically generated data that is not"original",recognizing the value of their property and providing legal protection,but giving no positive response to other issues.In the academic discussion,although various protection modes have their advantages and disadvantages,they all focus on one single protection mode.In fact,a multi-layered protection model can be adopted for artificial intelligence to generate data.The original auxiliary generated data can be included in the category of human works to obtain copyright protection.And a new type of neighboring right—data generator right can be established to protect the automatically generated data with objective"ingenuity".If there is no original data in auxiliary generation and automatic generation,the value of their property can be protected by data property right.When neighboring rights and data property rights have not been established,or protection is still missing after establishment,the protection model of anti-unfair competition law can provide comprehensive protection for AI-generated data.
作者
刁胜先
秦兴翰
DIAO Shengxian;QIN Xinghan(School of Cyber Security and Information Law,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
出处
《重庆邮电大学学报（社会科学版）》
2021年第3期41-53,共13页
Journal of Chongqing University of Posts and Telecommunications(Social Science Edition)
基金
国家社会科学基金一般项目:大数据战略视野下的个人信息权利义务体系研究(17BFX193)
重庆邮电大学社会科学基金项目:网络新型不正当竞争行为的法律规制(K2017-34)。
关键词
人工智能
生成数据
多元分层模式
数据生成者权
artificial intelligence(AI)
data generation
multi-layered protection mode
data generator rights
作者简介
刁胜先(1974-),女,重庆江津人,教授,法学博士,博士后,重庆邮电大学数据信息与人工智能法律研究中心主任,主要从事信息法、知识产权法研究;秦兴翰(1990-),男,重庆人,硕士研究生,主要从事数据信息与知识产权保护研究。
