Application of Artificial Intelligence Technology in Financial Risk Control

Xinzhu Bai; Milton Braganza

doi:10.5281/zenodo.11184640

Authors

Xinzhu Bai Tianjin University of Finance and Economics
Milton Braganza University of Chicago

DOI:

https://doi.org/10.5281/zenodo.11184640

References:

32

Keywords:

Artificial Intelligence, Big Data, Deep Learning Algorithm, Financial Risk, Risk Assessment, Fraud Detection

Abstract

At present, the application of artificial intelligence technology in the financial field has achieved remarkable results. In terms of risk prediction, Tencent Finance and JPNlorgan are widely used in machine learning algorithms, through the market, industry and evaluation. In the in-depth mining of risk assessment and fraud customer data, to achieve more accurate and real-time risk] artificial intelligence technology, to achieve intelligent and accurate risk assessment, and successfully improve the application of customer detection, China Merchants Bank and other domestic and foreign financial institutions in the risk control, and the judgment accuracy of credit risk. It also improves the accuracy and real-time of fraud detection. This paper expounds the application challenges of artificial intelligence in financial risk control and puts forward in-depth analysis of the application of artificial intelligence in financial risk control and preventive measures for industry reference.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Author Biographies

Xinzhu Bai, Tianjin University of Finance and Economics

Tourism Management, Tianjin University of Finance and Economics, Tianjin, China.

Milton Braganza, University of Chicago

Doctor of Philosophy, University of Chicago, Champaign, USA.

References

Zhou, Hong, et al. "Application of Conversational Intelligent Reporting System Based on Artificial Intelligence and Large Language Models." Journal of Theory and Practice of Engineering Science 4.03 (2024): 176-182.

Song, Tianbo, et al. "Research on Intelligent Application Design Based on Artificial Intelligence and Adaptive Interface." (2024).

Li, Xuanyi, et al. "User Interaction Interface Design and Innovation Based on Artificial Intelligence Technology." Journal of Theory and Practice of Engineering Science 4.03 (2024): 1-8.

Shen, Xinyu, et al. "Biology-based AI Predicts T-cell Receptor Antigen Binding Specificity." Academic Journal of Science and Technology 10.1 (2024): 23-27.

Yang, P., Shui, Z., Chen, Z., Baoming, W., & Lei, H. (2024). Integrated Management of Potential Financial Risks Based on Data Warehouse. Journal of Economic Theory and Business Management, 1(2), 64-70.

Zheng, Haotian, et al. "Medication Recommendation System Based on Natural Language Processing for Patient Emotion Analysis." Academic Journal of Science and Technology 10.1 (2024): 62-68

Li, Lianwei, et al. "Independent Grouped Information Expert Model: A Personalized Recommendation Algorithm Based on Deep Learning." (2024).

Lei, Han, et al. "Real-time Anomaly Target Detection and Recognition in Intelligent Surveillance Systems based on SLAM." (2024).

Shen, X., Wang, B., He, Z., Zhou, H., & Zhou, Y. (2024). Biology-based AI Predicts T-cell Receptor Antigen Binding Specificity. Academic Journal of Science and Technology, 10(1), 23-27.

Lei, H., Wang, B., Shui, Z., Yang, P., & Liang, P. (2024). Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology. arXiv preprint arXiv:2404.04492.

Ding, W., Zhou, H., Tan, H., Li, Z., & Fan, C. (2024). Automated Compatibility Testing Method for Distributed Software Systems in Cloud Computing.

Wang, B., He, Y., Shui, Z., Xin, Q., & Lei, H. Predictive Optimization of DDoS Attack Mitigation in Distributed Systems using Machine Learning.

Song, T., Li, X., Wang, B., & Han, L. (2024). Research on Intelligent Application Design Based on Artificial Intelligence and Adaptive Interface.

Li, X., Zong, Y., Yu, L., Li, L., & Wang, C. (2024, February). OPTIMIZING USER EXPERIENCE DESIGN AND PROJECT MANAGEMENT PRACTICES IN THE CONTEXT OF ARTIFICIAL INTELLIGENCE INNOVATION. In The 8th International scientific and practical conference “Priority areas of research in the scientific activity of teachers”(February 27–March 01, 2024) Zagreb, Croatia. International Science Group. 2024. 298 p. (p. 214).

Qian, Kun, et al. "Implementation of Artificial Intelligence in Investment Decision-making in the Chinese A-share Market." Journal of Economic Theory and Business Management 1.2 (2024): 36-42.

Lin, Luqi, et al. "AI-driven Protein Engineering for DNA Sequence Modification." Journal of Theory and Practice of Engineering Science 4.03 (2024): 183-190.

Cai, Guoqing, et al. "Deep Learning-Based Recognition and Visualization of Human Motion Behavior." Academic Journal of Science and Technology 10.1 (2024): 50-55.

Zheng, Haotian, et al. "Medication Recommendation System Based on Natural Language Processing for Patient Emotion Analysis." Academic Journal of Science and Technology 10.1 (2024): 62-68.

Wang, Hongbo, et al. "Intelligent Security Detection and Defense in Operating Systems Based on Deep Learning." International Journal of Computer Science and Information Technology 2.1 (2024): 359-367.

Huang, Zengyi, et al. "Research on Generative Artificial Intelligence for Virtual Financial Robo-Advisor." Academic Journal of Science and Technology 10.1 (2024): 74-80.

Xu, Jinxin, et al. "Predict and Optimize Financial Services Risk Using AI-driven Technology." Academic Journal of Science and Technology 10.1 (2024): 299-304.

Li, Hanzhe, et al. "Integration Methods and Advantages of Machine Learning with Cloud Data Warehouses." International Journal of Computer Science and Information Technology 2.1 (2024): 348-358.

Cui, Zhengrong, et al. "Drug Screening and Target Prediction Based on Machine Learning." (2024).

Yang, Peiyuan, et al. "THE PREDICTION AND OPTIMIZATION OF RISK IN FINANCIAL SERVICES BASED ON AI-DRIVEN TECHNOLOGY." The 12th International scientific and practical conference “Modern thoughts on the development of science: ideas, technologies and theories”(March 26–29, 2024) Amsterdam, Netherlands. International Science Group. 2024. 336 p.. 2024.

Li, Xuanyi, et al. "REVISED SENTENCE DEVELOPING MACHINE LEARNING APPLICATIONS WITH A FOCUS ON USER EXPERIENCE, INSPIRED BY APPLE'S HUMAN." The 12th International scientific and practical conference “Modern thoughts on the development of science: ideas, technologies and theories”(March 26–29, 2024) Amsterdam, Netherlands. International Science Group. 2024. 336 p.. 2024.

Wang, Junliang, et al. "Research on finance Credit Risk Quantification Model Based on Machine Learning Algorithm." Academic Journal of Science and Technology 10.1 (2024): 290-298.

Wu, Binbin, et al. "Enterprise Digital Intelligent Remote Control System Based on Industrial Internet of Things." (2024).

Lei, Han, et al. "Real-time Anomaly Target Detection and Recognition in Intelligent Surveillance Systems based on SLAM." (2024).

Ding, Weike, et al. "Automated Compatibility Testing Method for Distributed Software Systems in Cloud Computing." (2024).

Shen, Xinyu, et al. "Biology-based AI Predicts T-cell Receptor Antigen Binding Specificity." Academic Journal of Science and Technology 10.1 (2024): 23-27.

Su, G., Wang, J., Xu, X., Wang, Y., & Wang, C. (2024). The Utilization of Homomorphic Encryption Technology Grounded on Artificial Intelligence for Privacy Preservation. International Journal of Computer Science and Information Technology, 2(1), 52-58.

Ding, W., Tan, H., Zhou, H., Li, Z., & Fan, C. Immediate Traffic Flow Monitoring and Management Based on Multimodal Data in Cloud Computing.