东北大学学报(社会科学版) ›› 2025, Vol. 27 ›› Issue (6): 100-109.DOI: 10.15936/j.cnki.1008-3758.2025.06.011

• 法学研究 • 上一篇    下一篇

论实质性相似在AI时代的规则适用

张钧凯   

  1. 北京大学 法学院,北京 100871
  • 收稿日期:2024-06-18 出版日期:2025-11-25 发布日期:2025-12-03
  • 作者简介:张钧凯,北京大学博士研究生。
  • 基金资助:
    中国版权保护中心重大课题项目(BQ2024001)

On the Application of Substantive Similarity in the AI Age : Taking AIGC as the Object

Junkai ZHANG   

  1. Law School,Peking University,Beijing 100871,China
  • Received:2024-06-18 Online:2025-11-25 Published:2025-12-03

摘要:

基于人工智能技术的特点,当前人工智能生成过程中只能以在先作品作为训练对象,根据指令生成表达,故生成表达与原作之间可能存在较高的相似性。现行著作权法基本以“接触+实质性相似”为裁判标准判定侵权,互联网语境隐含地将“接触”要件搁置化,从结果主义的角度适用实质性相似标准,可能抑制未来对人工智能的利用。机器创作呈现的随机性与传统上的“实质性相似”认定规则之间存在偏离,数据库与提示词的选择对责任分配具有重要意义。通过对人工智能生成过程的拆解与分析,应当在涉及人工智能生成内容的侵权案件中更多关注人类的介入及指导。人工智能的数据库范围与生成提示词也可以作为侵权裁判的考量依据。

关键词: 人工智能, 实质性相似, 创作路径, 著作权法

Abstract:

Based on the characteristics of artificial intelligence (AI) technology, the current AI generation process relies on pre-existing works as training data to produce expressions according to given instructions. Consequently, there may be a high degree of similarity between the generated expressions and the original works. Under the existing Copyright Law, the determination of infringement is generally based on the criteria of “access plus substantial similarity.” In the context of the internet, the “access” requirement is implicitly sidelined, and the substantial similarity standard is applied from an outcome-oriented perspective, which may hinder the future utilization of AI. The randomness inherent in machine-generated creations deviates from the traditional rules for determining “substantial similarity.” The selection of databases and prompt words plays a significant role in the allocation of liability. Through the deconstruction and analysis of the AI generation process, greater emphasis should be placed on human intervention and guidance in infringement cases involving AI-generated contents. The scope of AI databases and the generation prompt words can also serve as considerations in infringement adjudications.

Key words: artificial intelligence, substantive similarity, creation path, Copyright Law

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