人工智能生成内容的著作权区分保护机制
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F062.5

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河南省高校哲社应用研究重大项目(2023-YYZD-25)。


On the copyright differential protection mechanism of AI-generated content
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    摘要:

    对符合著作权法之作品客观标准的人工智能生成内容赋予著作权保护具有多方面的正当性,应在作品认定、权利归属、特别规制等多个层面建立区分保护机制。其中,人机协作生成内容具有独创性的可成为作品,使用者在证明其创造性智力贡献基础上取得作者身份,享有著作权;人工智能自主生成内容具有独创性的,可作为特殊作品,由人工智能服务提供者取得仅限于财产权的有限著作权。前述两种作品在发表时应当做出标注,以与普通人类作品相区分。不构成作品的智能生成内容可视为物的孳息,属于服务提供者的数据资产;若这些数据集合系具有经济价值的智力成果,服务提供者可依法取得数据知识产权。相关当事人可对生成内容的权益归属做出约定,但不得违反公平原则。在著作权法修订之前,该区分保护机制的构建与实施,有赖于最高人民法院出台司法解释、行政机关做出行政指导以协同推进。

    Abstract:

    Granting copyright protection to AI-generated content that meets the objective standards of works under the Copyright Law holds multifaceted legitimacy. It is essential to establish a differentiated protection mechanism across various dimensions, including the identification of works, rights attribution, and special regulations. Specifically: Human-AI collaborative content that possesses originality may qualify as a work. Users, upon proving their creative intellectual contribution, may acquire authorship and enjoy copyright.AI-autonomously generated content that exhibits originality may be recognized as a special category of work, with the copyright property rights vested in the AI service provider. Both aforementioned types of works should be appropriately labeled upon publication to distinguish them from purely human-authored works.AI-generated content that does not constitute a work may be treated as the fruits of property, belonging to the data assets of the service provider. If such data collections represent intellectual achievements with economic value, the service provider may acquire data intellectual property rights in accordance with the law. Relevant parties may agree on the entitlement to rights and interests of the generated content, provided such agreements do not violate the principle of fairness. Prior to the amendment of the Copyright Law, the construction and implementation of this differentiated protection mechanism rely on the Supreme People’s Court issuing judicial interpretations and administrative authorities providing administrative guidance to collaboratively advance the framework.

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徐英军,李根壮.人工智能生成内容的著作权区分保护机制[J].中国软科学,2026,(1):74-84

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  • 在线发布日期: 2026-05-18
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