Development Trends in AI-Based Financial Risk Monitoring Technologies

Xinzhu Bai; Wei Jiang; Jiahao Xu

doi:10.5281/zenodo.10965494

Authors

Xinzhu Bai Tianjin University of Finance and Economics
Wei Jiang Xidian University
Jiahao Xu University of Southern California

DOI:

https://doi.org/10.5281/zenodo.10965494

ARK:

https://n2t.net/ark:/40704/JETBM.v1n2a07

References:

32

Keywords:

Artificial Intelligence, Financial Risk, Monitoring, Trends

Abstract

In recent years, artificial intelligence (AI) technology has rapidly evolved and deeply integrated with the financial industry. It has been widely used in various scenarios such as intelligent customer service, credit scoring, robo-advisors, and risk management. Central banks and other financial regulatory authorities are also exploring the utilization of AI to strengthen economic monitoring, analysis, and forecasting. AI contributes to improving the efficiency of financial services, promoting inclusive finance, and enhancing regulatory effectiveness. However, it also introduces risks such as financial risk, data security, high-tech crime, and algorithmic discrimination. Major economies including China, the United States, and Europe have begun to enhance regulatory oversight of AI. This abstract summarizes the development trends in AI-based financial risk monitoring technologies.

Author Biographies

Xinzhu Bai, Tianjin University of Finance and Economics

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

Wei Jiang, Xidian University

Computer Science, Xidian University, Xian, China.

Jiahao Xu, University of Southern California

Master of Science in Financial Engineering, University of Southern California, CA, USA.

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