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生成式人工智能语料训练的知识产权监管制度:域外经验及其启示

蒋洁如 林鹤

现代情报2025,Vol.45Issue(6):102-111,10.
现代情报2025,Vol.45Issue(6):102-111,10.DOI:10.3969/j.issn.1008-0821.2025.06.009

生成式人工智能语料训练的知识产权监管制度:域外经验及其启示

The Intellectual Property Regulatory Systems of Generative Artificial Intelligence Data Training:Extraterritorial Experience and Enlightenment

蒋洁如 1林鹤1

作者信息

  • 1. 上海图书馆(上海科学技术情报研究所),上海 200031
  • 折叠

摘要

Abstract

[Purpose/Significance]The generative artificial intelligence technology has triggered the copyright in-fringement risk during the generative AI data training stage,and infringement litigation cases around the world have e-merged.It is of great significance to propose regulatory and compliance measures to deal with the copyright infringement risk of generative AI data training in China,to balance the interests of AI industry and traditional content creation industry,and promote the sustainable development of GenAI technology.[Method/Process]Through the method of literature,compari-son and empirical analysis,this paper revealed the regulatory systems of developed countries(areas).On the basis of com-paring and learning from the regulatory experience of developed countries,this paper gave the countermeasures in combina-tion with our national conditions.[Result/Conclusion]The study found that China is at the rapid stage of generative AI de-velopment.Chinese government should introduce adaptable administrative regulatory principles.Meanwhile,China should incorporate a flexible"fair use"system that is applicable for GenAI data training into the current copyright legal system.At the same time,the industry can also develop a Creative Commons License scheme applicable to GenAI data training as a cost saving compliance measure.

关键词

生成式人工智能/语料训练/知识产权/著作权/监管制度/美国/欧盟/英国/日本/中国/合理使用/CC协议

Key words

generative artificial intelligence/data training/intellectual property/copyright/regulatory system/U.S.A./European Union/U.K./Japan/China/fair use/CC license

分类

计算机与自动化

引用本文复制引用

蒋洁如,林鹤..生成式人工智能语料训练的知识产权监管制度:域外经验及其启示[J].现代情报,2025,45(6):102-111,10.

现代情报

OA北大核心

1008-0821

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