Proceedings of the 2025 9th International Seminar on Education, Management and Social Sciences (ISEMSS 2025)

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Analysis of Generative Artificial Intelligence Risks and Countermeasures under the Background of Data Security

Authors
Hao Li1, Yongheng Pang1, *
1Criminal Investigation Police, University of China, Liaoning, Shenyang, 110035, China
*Corresponding author. Email: pangyongheng@cipuc.edu.cn
Corresponding Author
Yongheng Pang
Available Online 12 September 2025.
DOI
10.2991/978-2-38476-462-4_47How to use a DOI?
Keywords
Generative Artificial Intelligence; Data Privacy; False Information
Abstract

Generative AI (GAI) technology has shown great potential in promoting data analysis and content creation. To some extent, there is a clear gap between the speed of technology development and the level of public awareness, and the field of Generative AI is no exception. The purpose of this paper is to focus on the risks brought by it in the fields of data privacy disclosure, false information dissemination, deep forgery abuse, ethical dilemma and legal regulatory challenges, and to arouse the public's attention to a series of problems arising from it. At the same time, this paper puts forward corresponding strategies, believing that it can effectively deal with the multiple challenges brought by generative artificial intelligence technology, and ensure the safe, controllable and sustainable development of this technology.

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.

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Volume Title
Proceedings of the 2025 9th International Seminar on Education, Management and Social Sciences (ISEMSS 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
12 September 2025
ISBN
978-2-38476-462-4
ISSN
2352-5398
DOI
10.2991/978-2-38476-462-4_47How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Hao Li
AU  - Yongheng Pang
PY  - 2025
DA  - 2025/09/12
TI  - Analysis of Generative Artificial Intelligence Risks and Countermeasures under the Background of Data Security
BT  - Proceedings of the 2025 9th International Seminar on Education, Management and Social Sciences (ISEMSS 2025)
PB  - Atlantis Press
SP  - 426
EP  - 434
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-462-4_47
DO  - 10.2991/978-2-38476-462-4_47
ID  - Li2025
ER  -