生成式人工智能侵权避风港规则适用探析

刘如梦

高科技与产业化 ›› 2026, Vol. 32 ›› Issue (7) : 123.

主管:中国科学院
主办:中国科学院文献情报中心、中国高科技产业化研究会
ISSN:1006-222X
CN:11-3556/N
高科技与产业化 ›› 2026, Vol. 32 ›› Issue (7) : 123.
知识产权

生成式人工智能侵权避风港规则适用探析

  • 刘如梦
作者信息 +

Analysis of Safe Harbor Rules in Generative AI Infringement

  • LIU Rumeng
Author information +
文章历史 +

摘要

生成式人工智能重构了内容生产模式,与传统UGC生产逻辑存在显著差异,致使植根于UGC时代的避风港制度面临主体错位、通知规则失灵、过错认定困难等问题。文章以现有学术成果为基础,梳理避风港规则在生成式AI领域的适用现实困境及其成因,提出分层认定主体与过错、优化通知规则、增设事前合规义务等完善路径,以求平衡多方权益,以期实现版权保护与人工智能产业协同发展。

Abstract

Generative AI reshapes content production, differing greatly from traditional UGC logic, causing misaligned subjects, failed notification rules and hard fault judgment for UGC-era safe harbor rules. Based on existing studies, this paper analyzes its applicable dilemmas and causes, and puts forward tiered subject & fault judgment, optimized notification rules and prior compliance obligations to balance multi-party interests and coordinate copyright protection and AI industry growth.

关键词

人工智能侵权 / 避风港规则 / 责任认定

Key words

AI infringement / safe harbor rules / liability identification

引用本文

导出引用
刘如梦. 生成式人工智能侵权避风港规则适用探析[J]. 高科技与产业化. 2026, 32(7): 123
LIU Rumeng. Analysis of Safe Harbor Rules in Generative AI Infringement[J]. High-Technology and Commercialization. 2026, 32(7): 123

Accesses

Citation

Detail

段落导航
相关文章

/

〈 〉