摘要
赋权规制与公共领域规制作为现有对人工智能生成内容保护的规制逻辑,前者面临“独创性”认定标准不一、权利主体及内容不明等争议;后者虽能满足公共性使用的需求,但存在激励机制缺失、公共性资源滥用等问题,难以有效维护各方利益。相比之下,采取行为规制逻辑,不仅能够有效促进公共利益目标的实现、凝聚社会成员公共性使用的“普遍性共识”,还能有效实现对产业发展的合理激励与利益平衡,在推动技术创新的同时兼顾利益的分配公平。关于人工智能生成内容保护的行为规制路径建构,应当通过厘清人工智能生成内容所蕴含的市场性利益、营业性利益以及公共性利益三重保护利益,并基于利益指向实现人工智能生成内容的动态保护,以此为技术演变与产业发展提供更加灵活的空间,实现科技与法律关系的良性互动与逻辑自洽。
Empowerment regulation and public domain regulation are the existing regulatory logics for AI-generated content protection,but the former is faced with controversies such as different criteria for the determination of"original⁃ity",uncertainty of the subject of the right and its content;although the latter can meet the demand for public use,there are problems such as lack of incentives and misuse of public resources,which makes it difficult to effectively pro⁃tect the interests of all parties.In contrast,adopting the logic of behavioural regulation can not only effectively promote the realization of the public interest goal and gather the"general consensus"of the public use of the members of the so⁃ciety;it can also effectively achieve reasonable incentives and balance of interests for the development of the industry,and take into account the fair distribution of benefits while promoting technological innovation.With regard to the con⁃struction of the path of behavioural regulation of AI-generated content protection,the triple protection interests of mar⁃ket,business and public interests should be clarified,and the dynamic protection of AI-generated content should be achieved based on the interests,so as to provide a more flexible space for the evolution of technology and industrial de⁃velopment,and to achieve the benign interaction and logical self-consistency of the relationship between science and technology and the law.
作者
刘伟斌
Liu Weibin(School of Law,Beihang University,Beijing 100191,China)
出处
《科技与法律（中英文）》
CSSCI
2024年第5期100-109,共10页
Science Technology and Law（Chinese-English Version）
关键词
人工智能生成内容
法律规制逻辑
行为规制
路径建构
artificial intelligence generated content
logic of legal regulation
behavioral regulation
path construction
