论人工智能生成内容著作权侵权的认定和责任承担
作者简介:王迁,华东政法大学法律学院教授 (上海 201620)。
基金项目:
本文系上海市哲学社会科学规划重大研究专项课题“知识产权学科自主知识体系构建研究”(2025DZX017)的阶段性成果
摘要: 人工智能生成的内容可能与受保护的作品相同或实质性相似,从而引起侵权认定和责任承担问题。人工智能生成的与在先作品实质性相似、形式上具有独创性的内容不属于作品,而现行《著作权法》中演绎权规制的行为以形成演绎作品为前提,由此在认定侵犯演绎权方面产生了悖论。根据侵权认定标准与权利产生标准的分离性原理,对该悖论可通过将演绎权定义中所要求的“作品”解释为包括“具有作品外观的其他内容”加以解决。人工智能生成与受保护的作品相同或实质性相似的内容,有时并非开发企业和用户实施受专有权利规制的行为的结果,由此产生了“有损害后果但无侵权人”的悖论。对此需要将能生成侵权内容的人工智能认定为缺陷产品,将人工智能的开发企业认定为产品生产者,用产品责任的逻辑化解悖论。
AI-Generated Content and Copyright Liability: Paradoxes and Resolutions
Abstract: AI-generated content may be identical or substantially similar to protected works of others,raising issues of infringement determination and liability. When AI-generated content is substantially similar to another's work but exhibits originality in form,it does not qualify as a work under copyright law. However,the definition of derivative rights in the Copyright Law requires the creation of a derivative work,leading to a paradox in determining infringement of such rights. Based on the principle of separability between infringement standards and rights-generation standards,this paradox can be resolved by interpreting the term “work” in the definition of derivative rights to include “other content with the appearance of a work”. Furthermore,when AI generates content identical or substantially similar to protected works,it is not the result of acts regulated by exclusive rights carried out by developers,operators,or users,creating another paradox:the harm exists without an identifiable infringer. This can be addressed by classifying AI as a “product”,designating developers and operators as “producers”,and applying product liability rules under a reasonable interpretation of “product defects”.