生成式人工智能数据跨境流动的安全风险及治理范式
Security risks and governance paradigm for cross-border data flows of Generative AI
姚迁 1刘晋名 1盛小宝1
作者信息
摘要
随着生成式人工智能技术的快速迭代,相关数据跨境流动的频率显著增加.面对生成式人工智能在数据跨境流动中呈现的多样化应用场景及其所伴随的安全风险,应当从技术防控、制度优化与国际合作三个维度来建构生成式人工智能数据跨境流动的安全风险治理范式,在保障生成式人工智能数据跨境流动安全性与规范性的基础上,实现数据经济发展与数据权利保护的平衡,推动全球数字经济的健康发展.
Abstract
As Generative AI(GAI)technology rapidly evolves,the frequency of associated cross-border data flows has signifi-cantly increased.In light of the diverse application scenarios and the security risks accompanying these cross-border data move-ments,it is essential to establish a risk governance framework for GAI data flows that addresses these challenges through three key dimensions:technical safeguards,regulatory optimization,and international cooperation.By ensuring the security and compliance of cross-border data flows involving GAI,this framework aims to balance the advancement of the data economy with the protection of data rights,thereby fostering the healthy development of the global digital economy.
关键词
生成式人工智能/数据跨境流动/多样化场景/安全风险Key words
Generative AI/cross-border data flows/diverse scenarios/security risks引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据