信息通信技术与政策2025，Vol.51Issue(12)：33-39,7.DOI:10.12267/j.issn.2096-5931.2025.12.005
边界重构:生成式人工智能对政府数据开放的新挑战
Boundary reconfiguration:new challenges posed by GenAI to open government data
摘要
Abstract
Against the backdrop of global competition and rapid advancement in artificial intelligence(AI)technologies and applications,generative AI(GenAI)is becoming increasingly dependent on high-quality government data,while simultaneously disrupting the established boundaries of traditional open government data(OGD)practices.Drawing on literature review and logical induction,this paper systematically examines the interactions between GenAI and OGD across the stages of data acquisition,model training,and application.It reveals how GenAI drives a reconfiguration of boundaries in three key dimensions of OGD:the scope of data subjects,data quality governance,and platform infrastructure.By unpacking these dynamics,the study elucidates the profound challenges GenAI poses to OGD initiatives and offers theoretical insights and policy implications for navigating the evolving landscape of government data openness in the age of generative AI.关键词
政府数据开放/生成式人工智能/AI就绪Key words
open government data/GenAI/AI-Ready分类
社会科学引用本文复制引用
LYU Wenzeng,YANG Zhengjun..边界重构:生成式人工智能对政府数据开放的新挑战[J].信息通信技术与政策,2025,51(12):33-39,7.基金项目
国家社会科学基金重大项目(No.21&ZD337) （No.21&ZD337）
