网络安全与数据治理2023，Vol.42Issue(12)：27-33,7.DOI:10.19358/j.issn.2097-1788.2023.12.005
生成式大模型的数据安全风险与法律治理
Data security risks of generative large model and its legal governance
刘羿鸣 1林梓瀚2
作者信息
- 1. 武汉大学 网络治理研究院,湖北 武汉 430072
- 2. 上海数据交易所,上海 201203
- 折叠
摘要
Abstract
Generative large models have a wide range of application prospects,however,the training and operation of those mod- els need the support of massive data,which is very likely to cause data security risks.Cognitive risk is the premise of risk resolu-tion,and it is necessary to establish a cognitive system of data security risk of generative model application from both static and dynamic perspectives.Combining the governance experience of generative models in the EU and the United States,and addressing the deficiencies in the governance of data security risks of generative models in China,it is recommended to establish a categorized regulatory path based on data security risks,improve the data security responsibility system based on the whole process of large model operation,and explore the innovative regulatory mechanism based on the inclusive and prudent regulation,in order to pro-vide sufficient rule of law guarantee for realizing the credible future of large model applications.关键词
生成式大模型/数据安全风险/ChatGPT/风险分类分级Key words
generative large model/data security risk/ChatGPT/risk classification分类
社会科学引用本文复制引用
刘羿鸣,林梓瀚..生成式大模型的数据安全风险与法律治理[J].网络安全与数据治理,2023,42(12):27-33,7.
