| Issue |
ITM Web Conf.
Volume 80, 2025
2025 2nd International Conference on Advanced Computer Applications and Artificial Intelligence (ACAAI 2025)
|
|
|---|---|---|
| Article Number | 04009 | |
| Number of page(s) | 7 | |
| Section | Applications in Industry, Finance & AI Ethics | |
| DOI | https://doi.org/10.1051/itmconf/20258004009 | |
| Published online | 16 December 2025 | |
The Impact of the Development of Artificial Intelligence Technology on the Risk Control Mode of the Financial Industry
University of Connecticut, Storrs, Connecticut, USA
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
The emergence of artificial intelligence technology has had a significant impact on human development, and human society has begun to closely integrate intelligence and dataization. With the help of artificial intelligence, a large amount of information can be processed and analyzed with precision, which can greatly reduce people’s work costs. However, it also brings many risks. In the face of new risks, artificial intelligence can make prevention and control management, and accurately provide risk assessment and quantification models. Therefore, understanding the impact of different artificial intelligence technologies on risk control in the financial sector is of great significance. This article first summarizes the background and significance of the current need for intelligence in the financial industry to help control risks, and then summarizes the different technologies that can be applied in the financial industry in different periods. Secondly, based on risk prediction, risk assessment, and fraud detection, the main applications of artificial intelligence in the financial field are summarized. Finally, the current problems and future solutions that can be addressed are proposed. This article aims to provide researchers in related fields with clearer research directions.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

