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AI大语言模型的数据安全风险与治理措施

林杰 王家盛

网络安全与数据治理2025,Vol.44Issue(11):24-29,6.
网络安全与数据治理2025,Vol.44Issue(11):24-29,6.DOI:10.19358/j.issn.2097-1788.2025.11.005

AI大语言模型的数据安全风险与治理措施

Data security risks and governance measures for AI large language models

林杰 1王家盛1

作者信息

  • 1. 同济大学 经济与管理学院,上海 200092
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摘要

Abstract

With the rapid development of AI large language model,it not only brings innovation opportunities for various fields,but also causes many data security risks.This study deeply analyzes the data security risks faced by AI large language model,in-cluding data leakage,data abuse,data bias,etc.,and proposes a series of governance measures,aiming to provide a comprehen-sive theoretical basis and practical guidance for building a safe and reliable AI large language model application environment,and promote the sustainable development of the technology on the track of legal compliance and safety.

关键词

大语言模型/数据安全风险/治理措施/隐私保护

Key words

large language model/data security risks/governance measures/privacy protection

分类

计算机与自动化

引用本文复制引用

林杰,王家盛..AI大语言模型的数据安全风险与治理措施[J].网络安全与数据治理,2025,44(11):24-29,6.

基金项目

国家社会科学基金重点项目(22AZD136) (22AZD136)

上海市2024年度科技创新行动计划(24692114200) (24692114200)

网络安全与数据治理

2097-1788

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