Artificial Intelligence in Risk Management: A Study of Modern Approaches

Fengzhi Liu (), Rongjia Cui, Dongmei Wang, Yanhui Song and Yuhao Tan
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Fengzhi Liu: Harbin University of Commerce, School of Economics
Rongjia Cui: Harbin University of Commerce, School of Pharmacy
Dongmei Wang: Harbin University of Commerce, Finance School
Yanhui Song: Harbin University of Commerce, College of Business
Yuhao Tan: Harbin University of Commerce, College of Business

A chapter in Proceedings of the 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025), 2025, pp 41-52 from Springer

Abstract: 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.

Keywords: Artificial Intelligence; Financial Risk Assessment; Early Warning Systems; Machine Learning; Deep Learning; Risk Management; Predictive Analytics; Financial Stability (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-702-1_5

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DOI: 10.2991/978-94-6463-702-1_5

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