| Issue |
SHS Web Conf.
Volume 213, 2025
2025 International Conference on Management, Economic and Sustainable Social Development (MESSD 2025)
|
|
|---|---|---|
| Article Number | 01024 | |
| Number of page(s) | 5 | |
| Section | Management and Sustainable Economy | |
| DOI | https://doi.org/10.1051/shsconf/202521301024 | |
| Published online | 25 March 2025 | |
Research on AIGC Technology Driven Innovation Models and Risk Management in the Financial Sector
School of Finance, Nankai University, Tianjin, China
* Corresponding author: 1923719541@qq.com
With the rapid development of AI Generated Content (AIGC) technology, its application in the financial field is gradually deepening, bringing new impetus to financial innovation. However, the application of AIGC technology also comes with potential risks, such as data security, algorithm bias, and market manipulation. This article explores the innovative models of AIGC technology in the financial industry based on its core characteristics, including intelligent investment advisory, risk assessment, quantitative trading, financial marketing, and analyzes the risk management challenges it brings. Finally, this article proposes strategies such as improving the regulatory system, optimizing algorithm transparency, and strengthening data governance to promote the healthy development of AIGC technology in the financial sector.
© 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.