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Artificial Intelligence in Risk Management: A Study of Modern Approaches

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Fengzhi Liu & Rongjia Cui & Dongmei Wang & Yanhui Song & Yuhao Tan, 2025. "Artificial Intelligence in Risk Management: A Study of Modern Approaches," Advances in Economics, Business and Management Research, in: Maizaitulaidawati Md Husin & Tomoki Fujii & Xiaodong Lai & Azlina Binti Md Yassin (ed.), Proceedings of the 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025), pages 41-52, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-702-1_5
    DOI: 10.2991/978-94-6463-702-1_5
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