生成式人工智能侵权归责的基本逻辑及垄断监管的路径选择  

The basic logic of generative artificial intelligence tort attribution and the path choice of monopoly regulation

作　　者：潘玥琦 Pan Yueqi(Qingdao University of Science and Technology,Qingdao,Shandong,266061)

机构地区：[1]青岛科技大学,山东青岛266061

出　　处：《市场周刊》2024年第22期164-167,173,共5页Market Weekly

摘　　要：区别于传统的人工智能技术,生成式人工智能先进而复杂的运行机制和算法应用造就了其价值属性、运行属性和前沿属性等特点。技术的创新就必然伴随着规则的改变,但由于我国法律基础内容与规则体系尚未更新完备,所以生成式人工智能所衍生的法律风险随之而来。文章利用法律逻辑通过建立人工智能管理组织、建立与人工智能生成内容利润分配制度相匹配的归责制度、通过事前干预与警报唤醒制度逐一解决数据信息侵权多发、侵权归责认定难、垄断监管不到位等问题。Different from the traditional artificial intelligence technology,generative artificial intelligence advanced and complex operation mechanism and algorithm application has created its unique value attribute,operation attribute and frontier attribute and other characteristics.The innovation of technology is inevitably accompanied by the change of rules,but due to the content of the legal basis and rule system in China has not yet been updated and complete,so the legal risk derived from generative artificial intelligence comes along.This paper uses legal logic to solve the problems of data and information infringement,difficult to determine infringement responsibility,and lack of monopoly supervision by establishing an AI management organization,establishing an attribution system matching the profit distribution system of AI-generated content,and intervening beforehand with an alarm and awakening system one by one.

关 键 词：生成式人工智能 风险应对 法律治理 

分 类 号：DF414[政治法律—经济法学]