人工智能洗稿法律规制之困与疏解之道  

The Dilemma of Legal Regulation of Artificial Intelligence Scriptwashing and the Search for a Solution

作　　者：鲁甜 Tian Lu

机构地区：[1]西北政法大学经济法学院(知识产权学院)

出　　处：《新媒体与社会》2024年第1期197-209,397,共14页New Media and Society

基　　金：文化和旅游部“传统工艺高质量发展中的知识产权问题研究”(项目编号:24DY34);西北政法大学义乌研究院“义乌地区跨境电商知识产权多元化纠纷解决机制”(项目编号:YW 2024-21-01);国家社科青年项目“知识产权停止侵害请求权的限制司法适用研究”(项目编号:19CFX055)。

摘　　要：人工智能带来版权内容增量的同时,也催生了洗稿产业链。算法技术复杂性、内容服务平台的封闭性以及权利主体分散性使得以著作权法为主的一元规制困境愈发凸显。实质性相似判定不足、侵权责任主体界定困难、平台法律地位的缺失等决定了上述困境在著作权法框架无法得到有效解决。既然智能洗稿植根于数据抓取和机器学习技术,有必要构建以“数据采集—数据处理—结果输出”为主的规范架构,运用著作权法、反不正当竞争法、刑法等探寻法律与技术并重的多元规制之道。Artificial Intelligence brings incremental content to the copyright industry and contributes to the formation of the manuscript-washing industry chain.The complexity of algorithmic technology,the closed nature of content service platforms and the decentralized nature of right subjects make the dilemma of monolithic regulation dominated by copyright law more and more prominent.Insufficient determination of substantive similarity,difficulty in defining the subject of infringement responsibility,and lack of legal status of the platform determine that the above dilemmas cannot be effectively solved in the framework of copyright law.Since intelligent copywriting is rooted in data capture and machine learning technology,it is necessary to build a normative framework based on“data collection-data processing-result output”,and to use copyright law,anti-unfair competition law,criminal law,etc.,to explore a multifaceted regulatory approach that emphasizes both law and technology.It is necessary to build a regulatory framework focusing on“data collection,data processing and result output”,and to explore a multifaceted approach that emphasizes both law and technology by using copyright law,anti-unfair competition law and criminal law.

关 键 词：智能洗稿 数据抓取 数据训练 侵权主体 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] D923.41[自动化与计算机技术—控制科学与工程]