现代情报2025，Vol.45Issue(5)：89-98,10.DOI:10.3969/j.issn.1008-0821.2025.05.009
生成式人工智能训练数据风险治理:欧盟经验及其启示
Generative Artificial Intelligence Training Data Risk Governance:EU Experience and Enlightenment
摘要
Abstract
[Purpose/Significance]The performance of generative artificial intelligence models depends on the securi-ty of training data,and frequent security risks of training data have become an obstacle to the development of artificial intel-ligence technology.Ensuring the security of training data is of great importance for the healthy development of technology.[Method/Process]Through literature,experience and comparative analysis,this paper revealed the security risks of gen-erative artificial intelligence training data,and put forward countermeasures based on the experience of EU governance and China's practice.[Result/Conclusion]The study found that the current training data has opaque data sources,non-stand-ard labeling,unsafe content and hidden dangers of leakage.The EU has established a regulatory system with the core of en-suring data sources,labeling,content and leakage prevention and control.In the future,China should strengthen data source management,unify labeling standards,improve content security rules,and strengthen data protection technology to ensure the safety of training data and promote the healthy development of technology.关键词
生成式人工智能/训练数据/数据安全/数据风险治理/欧盟经验Key words
generative artificial intelligence/training data/data security/data risk management/EU experience分类
政治法律引用本文复制引用
徐伟,韦红梅..生成式人工智能训练数据风险治理:欧盟经验及其启示[J].现代情报,2025,45(5):89-98,10.基金项目
国家社会科学基金重大项目"健全网络综合治理体系研究"(项目编号:23ZDA086). （项目编号:23ZDA086）
