How Does DeepSeek Empower the Modernization of Public Security Work

DOI

10.2991/978-94-6463-958-2_22How to use a DOI?

Keywords

Public security work; Deepseek; collaborative policing

Abstract

In response to the problems such as delayed response and insufficient service efficiency existing in the current digital transformation of police work, this study, based on the application practice of DeepSeek large model technology in public security work, through the research method of comparing two cases of traditional and modern police work, deeply explores the innovative path of intelligent transformation of police work. Research shows that DeepSeek technology has demonstrated significant advantages in core business scenarios such as police situation analysis, case assessment, and duty optimization, effectively enhancing the accuracy and service efficiency of police work. Research has found that in the process of implementing DeepSeek technology, there are still practical challenges such as data sharing barriers, algorithm transparency, and security compliance. To promote the modernization transformation of police work, it is necessary to focus on building a data and model collaboration mechanism based on DeepSeek, improving the cross-police force intelligent collaboration system, perfecting the technical application norms and institutional guarantees, and ensuring the effectiveness of the transformation through pilot demonstrations and dynamic assessment mechanisms. This research provides important theoretical references and practical guidance for the intelligent construction of public security organs.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Qiwen Lin
PY  - 2025
DA  - 2025/12/26
TI  - How Does DeepSeek Empower the Modernization of Public Security Work
BT  - Proceedings of the 5th International Conference on Management Science and Software Engineering (ICMSSE 2025)
PB  - Atlantis Press
SP  - 186
EP  - 194
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-958-2_22
DO  - 10.2991/978-94-6463-958-2_22
ID  - Lin2025
ER  -