自动化行政中个人信息的法律保护研究
Research on the Legal Protection of Personal Information in Automated Administration
摘要: 在信息技术飞速发展的当下,自动化行政已深度融入现代社会治理,显著提升了行政效率与公共服务水平。然而,伴随而来的是个人信息在收集、存储、使用和共享等环节面临严峻风险。个人信息作为公民的核心权益,不仅关系到个人隐私与人格尊严,在数字化社会经济活动中也占据关键地位。自动化行政对个人信息的广泛运用,虽推动了行政管理现代化,但信息泄露、滥用等问题频发,严重威胁公民合法权益,甚至可能引发社会信任危机。鉴于此,深入探究自动化行政中个人信息的法律保护极具现实意义。通过研究,有助于填补法律空白,完善我国个人信息保护法律体系,为公民信息安全提供坚实法律保障。同时,能够有效规范自动化行政行为,平衡行政效率与个人信息保护之间的关系,促进自动化行政健康、可持续发展,维护社会公平正义与稳定。
Abstract: In the era of rapid development of information technology, automated administration has deeply integrated into modern social governance, significantly enhancing administrative efficiency and the level of public services. However, along with this comes the severe risks that personal information faces in the processes of collection, storage, use, and sharing. As the core right of citizens, personal information not only relates to personal privacy and dignity but also holds a crucial position in digital social and economic activities. While the extensive application of personal information in automated administration has promoted the modernization of administrative management, problems such as information leakage and abuse occur frequently, seriously threatening the legitimate rights and interests of citizens and even potentially triggering a crisis of social trust. In light of this, in-depth exploration of the legal protection of personal information in automated administration is of great practical significance. Through research, it can help fill legal gaps, improve China’s legal system for personal information protection, and provide a solid legal guarantee for citizens’ information security. At the same time, it can effectively regulate the behavior of automated administration, balance the relationship between administrative efficiency and personal information protection, promote the healthy and sustainable development of automated administration, and maintain social fairness, justice, and stability.
文章引用:闫皓玥. 自动化行政中个人信息的法律保护研究[J]. 争议解决, 2025, 11(7): 104-112. https://doi.org/10.12677/ds.2025.117220

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