信息安全研究2026，Vol.12Issue(1)：68-74,7.DOI:10.12379/j.issn.2096-1057.2026.01.08
数据训练中的版权开放许可规则及其实现路径
Copyright Open Licensing Rules and Their Implementation Paths in Data Training
摘要
Abstract
The reliance of generative artificial intelligence training on massive volumes of copyrighted works has given rise to increasingly significant risks of copyright infringement.Jurisdictions such as the European Union,the United States,and Japan have introduced regulatory responses,including innovative rules on text and data mining exceptions.Although allowing the use of copyrighted works for data training has become a general theoretical consensus in China,there remains considerable controversy over the specific pathways to compliance.This article argues for the establishment of a copyright open licensing mechanism for data training,replacing individualized authorization with voluntary public declarations,and incentivizing right holders'participation through fair benefit allocation and transparent regulatory safeguards.This approach aims to strike a dynamic balance between technological innovation and copyright protection.Given the automatic protection and vast quantity of copyrighted works,the legal effect of publicity of open licensing declarations should be expressly recognized to protect bona fide third-party reliance.Additionally,right holders should be permitted to grant collective licenses for series or sets of works to better accommodate the data-intensive utilization demands in the era of artificial intelligence.关键词
数据训练/文本与数据挖掘/著作权/开放许可/公示效力Key words
data training/text and data mining/copyright/open licensing/legal effect of publicity分类
信息技术与安全科学引用本文复制引用
Li Qian,Shen Lisu..数据训练中的版权开放许可规则及其实现路径[J].信息安全研究,2026,12(1):68-74,7.基金项目
云南省哲学社会科学创新团队项目(2022CX03) （2022CX03）
昆明理工大学人文社科培育项目(PYYB2022005) （PYYB2022005）
