Proceedings of the 6th International Conference on Internet, Education and Information Technology (IEIT 2026)

6th International Conference on Internet, Education and Information Technology (IEIT 2026)

📍Wuxi, China🗓️ 8-10 May 2026
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Exploring Multidimensional Risk Analysis and Governance Strategies for Generative AI in Education

Authors
Nan Ke1, Zhenbin Liang1, *, Qiao Sun1
1Naval University of Engineering, Wuhan, 430022, China
*Corresponding author. Email: 1920191069@nue.edu.cn
Corresponding Author
Zhenbin Liang
Available Online 17 July 2026.
DOI
10.2991/978-94-6239-733-0_10How to use a DOI?
Keywords
Generative AI; Education and Teaching; Risk Analysis; Governance Strategies
Abstract

The rapid advancement of generative AI is profoundly transforming the modes of knowledge production, dissemination, and application. Its deep integration into the field of education brings immense pedagogical innovation to modern classrooms and offers revolutionary opportunities for educational development. However, it simultaneously introduces complex and multifaceted novel risks. This paper first reviews current research on identifying risks associated with applying generative AI in education and corresponding prevention and control strategies. Subsequently, addressing the limitations of traditional risk analysis, which often lacks focus and struggles to capture the complexity and interconnectedness of risks in generative AI educational applications, a three-dimensional analytical framework encompassing “Teaching Segments - Risk Categories - Academic Disciplines” is constructed. This framework facilitates a multi-faceted and precise identification of application risk points. Finally, considering the current implementation of higher education instruction and the characteristics of various academic disciplines, this paper explores stratified governance methods for the risks of generative AI in education and proposes discipline-specific strategies.

Copyright
© 2026 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 6th International Conference on Internet, Education and Information Technology (IEIT 2026)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
17 July 2026
ISBN
978-94-6239-733-0
ISSN
2667-128X
DOI
10.2991/978-94-6239-733-0_10How to use a DOI?
Copyright
© 2026 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  - Nan Ke
AU  - Zhenbin Liang
AU  - Qiao Sun
PY  - 2026
DA  - 2026/07/17
TI  - Exploring Multidimensional Risk Analysis and Governance Strategies for Generative AI in Education
BT  - Proceedings of the 6th International Conference on Internet, Education and Information Technology (IEIT 2026)
PB  - Atlantis Press
SP  - 70
EP  - 80
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6239-733-0_10
DO  - 10.2991/978-94-6239-733-0_10
ID  - Ke2026
ER  -