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作 者:徐俊 Xu Jun
机构地区:[1]上海市高级人民法院知识产权审判庭
出 处:《政法论坛》2024年第6期118-127,共10页Tribune of Political Science and Law
基 金:国家社科基金一般项目“基于算法风险的互联网平台著作权侵权责任研究”(23BFX082)的阶段性成果。
摘 要:尽管算法推荐技术在互联网平台得到广泛应用并受到业界普遍认同,但基于该项技术应用的版权侵权责任承担却引发了较大争议。本文提出对上述争议的解决,需要将平台责任的法律逻辑作为大前提,将算法推荐的技术逻辑和商业实践作为小前提,在场景类型化的基础上根据逻辑三段论推导得出平台是否承担版权侵权责任的结论。算法推荐的主流技术标准客观可量化,互联网平台在算法纯粹输出场景下无需承担概括性的注意义务,同时应当在算法流量倾斜场景下承担更高的注意义务。Although algorithmic recommendation technology has been widely used on Internet platforms and recognized by the industry,the copyright liability when applying such technology has triggered a lot controversy.To resolve this issue,this paper proposes that,with the legal logic of platform responsibility as the major premise,and the technical logic and business practice of algorithm recommendation as the minor premise,reaching the conclusion of whether the platform bears the copyright liability based on the typology of scene.The main technical standard of algorithmic recommendation is objective and quantifiable.The paper concludes the Internet platform does not bear the general duty of care under the scenario of pure generation by algorithmic and meanwhile the platform should bear a higher duty of care under the flow tilt scenario.
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