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Research on the Applications of Artificial Intelligence Technology in Financial Risk Management

In: Proceedings of the 2026 11th International Conference on Financial Innovation and Economic Development (ICFIED 2026)

Author

Listed:
  • Mengyu Xu

    (Qingdao NO.1 International School of Shandong Province)

Abstract

Financial risk management, as a core mechanism for maintaining financial stability, is undergoing a paradigm change driven by artificial intelligence technology. Traditional risk control methods are limited by defects such as single data dimension, static model, and response lag, which makes it difficult to cope with the continuous upgrading of complexity and uncertainty of financial market. This research systematically discusses the application logic and technical path of artificial intelligence technology in core scenarios such as credit evaluation, fraud detection, market prediction and risk warning, and reveals the internal mechanism of improving risk control efficiency. The collaborative application of machine learning, deep learning and natural language processing not only expands the coverage and accuracy of risk identification, but also promotes the transformation of risk control process from experience-driven to data-driven. This paper emphasizes the necessity of man-machine collaborative governance framework and dynamic supervision, and provides theoretical support and practical reference for the construction of intelligent risk control system in financial industry.

Suggested Citation

  • Mengyu Xu, 2026. "Research on the Applications of Artificial Intelligence Technology in Financial Risk Management," Advances in Economics, Business and Management Research, in: Xiongfeng Pan & Huaping Sun & Abdul Rauf & Md Rabiul Islam & Liew Chee Yoong (ed.), Proceedings of the 2026 11th International Conference on Financial Innovation and Economic Development (ICFIED 2026), pages 16-24, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-642-5_3
    DOI: 10.2991/978-94-6239-642-5_3
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