Proceedings of the 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025)

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Artificial Intelligence in Risk Management: A Study of Modern Approaches

Authors
Fengzhi Liu1, *, Rongjia Cui2, Dongmei Wang3, Yanhui Song4, Yuhao Tan4
1School of Economics, Harbin University of Commerce, Harbin, 150028, China
2School of Pharmacy, Harbin University of Commerce, Harbin, 150028, China
3Finance School, Harbin University of Commerce, Harbin, 150028, China
4College of Business, Harbin University of Commerce, Harbin, 150028, China
*Corresponding author. Email: 2902418994@qq.com
Corresponding Author
Fengzhi Liu
Available Online 5 May 2025.
DOI
10.2991/978-94-6463-702-1_5How to use a DOI?
Keywords
Artificial Intelligence; Financial Risk Assessment; Early Warning Systems; Machine Learning; Deep Learning; Risk Management; Predictive Analytics; Financial Stability
Abstract

Financial risk management is crucial to financial stability, and artificial intelligence (AI) has become a transformative tool to assess and predict risk. This paper explores the application of AI in early warning systems to improve the robustness of risk management strategies. Research objectives include theoretical exploration of the AI risk assessment model, practical application testing, comparison with traditional methods, and assessment of the impact on the financial industry and regulation. The study uses data collection, feature selection, model training and evaluation methods to deeply analyze the role of AI in financial risk assessment. This paper provides empirical insights and practical guidance for the academic and financial sectors, while indicating future research directions.

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 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
5 May 2025
ISBN
978-94-6463-702-1
ISSN
2352-5428
DOI
10.2991/978-94-6463-702-1_5How 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  - Fengzhi Liu
AU  - Rongjia Cui
AU  - Dongmei Wang
AU  - Yanhui Song
AU  - Yuhao Tan
PY  - 2025
DA  - 2025/05/05
TI  - Artificial Intelligence in Risk Management: A Study of Modern Approaches
BT  - Proceedings of the 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025)
PB  - Atlantis Press
SP  - 41
EP  - 52
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-702-1_5
DO  - 10.2991/978-94-6463-702-1_5
ID  - Liu2025
ER  -