摘要
在数字政府建设过程中,生成式人工智能技术在强化信息整理和信息驱动能力、优化政府运作架构等方面能够发挥重要功能;同时,生成式人工智能技术在嵌入数字政府建设时也面临风险。旨在系统性应对现代化所致不安和危害的风险社会理论,可以为识别和克服这些风险提供帮助。在风险识别层面,数字政府建设中应用生成式人工智能可能导致数据安全风险、责任虚化风险以及隐私信息侵权风险。在风险治理层面,借助敏捷治理思路,应采取综合规制路径,建立数据分级分类规制框架,明确政府主体责任,有效激活隐私信息保护的私法规范,同时注意适时评估实效并及时修正。
In the process of digital government construction,generative artificial intelligence(GAI)technology can play beneficial roles in enhancing information organization and information-driven capabilities,as well as optimizing governmental operational structures.At the same time,embedding GAI technology into digital government construction can also pose risks.The risk society theory,which aims to systematically address the anxieties and hazards induced by modernization,can provide assistance in identifying and overcoming such risks.Regarding risk identification,the application of GAI in digital government construction may generate risks related to data security,blurred responsibility,and privacy infringement.While in risk governance,adopting an agile governance approach,a comprehensive regulatory path should be taken to establish a framework for classifying and regulating data of different levels and categories,clarify the primary responsibility of the government,effectively activate private laws and norms for privacy information protection and pay attention to timely assessing effectiveness and making corrections.
作者
傅建平
Fu Jianping(Central South University)
出处
《武汉大学学报（哲学社会科学版）》
CSSCI
北大核心
2024年第6期34-47,共14页
Wuhan University Journal：Philosophy & Social Science
基金
湖南省教育科学“十四五”规划2023年专项重点项目(XJK23AKS004)。
