节点文献
生成式AI著作权侵权责任的认定困境与纾解路径
The Identification Dilemma and Mitigation Path for Copyright Infringement Liability in Generative Artificial Intelligence
【摘要】 生成式AI技术的快速发展使其生成物的著作权问题日益凸显,其中著作权侵权责任的认定问题包括:侵权责任主体识别存在障碍、侵权行为认定标准尚存争议以及法律因果关系证明困难。因而,建议从生成式AI生成物的可著作权性证成入手,明确侵权责任主体识别标准;参考接触要件与实质相似要件,细化侵权行为的认定规则;构建以过错责任为核心的归责机制。通过以上措施,能够有效保护著作权人的合法权益,促进生成式AI技术的健康发展。
【Abstract】 The rapid development of generative artificial intelligence(hereinafter referred to as AI)technology has increasingly highlighted the copyright issues associated with its outputs. However, there are currently many inadequacies in the determination of copyright infringement liability, mainly in three aspects: obstacles in identifying the subject of infringement liability, controversies over the standards for determining infringing acts, and difficulties in proving legal causality. Therefore, it is proposed to start with justifying the copyrightability of generative AI creations, clarify the standards for identifying the subject of infringement liability, refine the rules for determining infringing acts by referencing the elements of access and substantial similarity, and construct a liability attribution mechanism centered on fault liability. Through systematic optimization of these rules, the legitimate rights and interests of copyright owners can be effectively protected, and the healthy development of generative AI technology can be promoted.
【Key words】 generative AI; copyright infringement; responsible entity; fault liability;
- 【文献出处】 海南开放大学学报 ,Journal of Hainan Open University , 编辑部邮箱 ,2025年02期
- 【分类号】D923.41;TP18
- 【下载频次】146