Application Analysis of Artificial Intelligence in Financial Risk Assessment: A Case Study of Ant Group
DOI:
https://doi.org/10.61173/e9w5s068Keywords:
Artificial Intelligence, Financial Risk As-sessment, Ant Group, Intelligent Risk Control, Machine Learning, Data PrivacyAbstract
The rapid advancement of artificial intelligence (AI) technology has introduced novel methodologies and practical tools for financial risk assessment. This study focuses on Ant Group to explore the technical architecture, application scenarios, and practical outcomes of AI in financial risk evaluation. By analyzing Ant Group’s intelligent risk control system, which integrates big data and AI technologies, the research reveals that its approach—synthesizing multi-source heterogeneous data, enabling real-time dynamic monitoring, and optimizing deep learning models—significantly enhances the accuracy of credit assessments and anti-fraud capabilities while scaling inclusive financial services. However, challenges persist during implementation, including algorithmic opacity, data privacy concerns, and regulatory misalignment. To address these issues, this paper proposes optimization strategies such as improving model interpretability, refining data governance frameworks, and establishing adaptive regulatory mechanisms, offering theoretical and practical insights for the intelligent transformation of the financial industry.
References
[1] Improving the Quality and Efficiency of Financial Services with Artificial Intelligence. (2024). Available at https://m.xzxw. com/zh/html/2024-04/17/content_6128601.html (Accessed: May 3, 2025)
[2] Yan, J. (2024). The Application of Artificial Intelligence in the Financial Field. Contemporary County - level Economy, 11, 92 - 94. Available at https://doi.org/10.16625/j.cnki.51 - 1752/ f.2024.11.033 (Accessed: May 3, 2025).
[3] Muhammad RIfqi Yudi Hidayat, Siska Yulia Defitri and Haim Hilman (2024). The Impact of Artificial Intelligence (AI) on Financial Management. Available at https://www. researchgate.net/publication/377958203_The_Impact_of_ Artificial_Intelligence_AI_on_Financial_Management#citations (Accessed: May 3, 2025)
[4] Fritz-Morgenthal, S., Hein, B., & Papenbrock, J. (2022). Financial Risk Management and Explainable, Trustworthy, Responsible AI. Frontiers in Artificial Intelligence, 5, 779799– 779799. Available at https://doi.org/10.3389/frai.2022.779799 (Accessed: May 3, 2025)
[5] Zhou Jun (2025). Innovation and Application Exploration of Basic AI Technologies | CCCF Selection. Available at https://04665u.npoall.com/news/itemid-97943.html (Accessed: May 3, 2025)
[6] Zhao, M. (2022). Research on Financial Risk Assessment Based on Artificial Intelligence. SHS Web of Conferences, 151, 1017-. Available at https://doi.org/10.1051/ shsconf/202215101017 (Accessed: May 3, 2025)
[7] Sun, Y. (2023). Exploration on the Application of Big Data and Artificial Intelligence in the Financial Field. Shanghai Business, November Issue, 86 - 88. Available at https:// www.zhangqiaokeyan.com/academic-journal-cn_business_ thesis/02012113614836.html (Accessed: May 3, 2025).
[8] Eastmoney Website (2024). Speeding up General Artificial Intelligence. Ant Group’s Graph Computing Breaks the World Record in Authoritative Assessments Four Times in a Row. Available at https://finance.eastmoney.com/ a/202409083178269091.html (Accessed: May 3, 2025)
[9] Shikai W., Yida Z., Qi L. & Ming W. (2024). Utilizing Artificial Intelligence for Financial Risk Monitoring in Asset Management. Available at https://www.suaspress.org/ojs/index. php/AJSM/article/view/v2n5a03 (Accessed: May 3, 2025)
[10] Xiao, J. T. (n.d.). The Application and Evolution of Artificial Intelligence in Financial Risk Management. Financial Literature, 100 - 102. Available at https://libdb.csu.edu.cn/vpn/11/https/ NNYHGLUDN3WXTLUPMW4A/kcms2/article/abstract?v=Bo 5Zm1RyAinGaY2T3B1D1vr_rO31vDQ0-gPR21nzxNtYgTOup ZjX1GMFE4LQKBxc_3pFbeA5fsjSadwGcfmptRSxuJr8YEmA rz9F2i0UH4qPSJ8uTWMeO1u3djBu_99cmydnZiJFsGxv4JNS XG_-moEtt7LT3n-XI6f48GyMhTYeFdUN9GsY-g==&uniplatfo rm=NZKPT&language=CHS (Accessed: May 3, 2025).
[11] CSDN (2025). Ant Financial Technology Launches the Financial Agent Development Platform Agentar. Over 100 Financial MCP Services Are Launched in the Internal Test. Available at https://blog.csdn.net/csdnnews/article/ Dean&Francis ISSN 2959-6157 details/147618053 (Accessed: May 3, 2025)
[12] LeiFeng Webiste (2024). Ant Group Upgrades AI Financial Butler “Maxiaocai”. How Does the Large Model Improve Professional Financial Services? Available at http://www.kejilie. com/leiphone/article/VVj2Un.html (Accessed: May 3, 2025)
[13] Cui, C. Z. (n.d.). Empowering the “Internet +” Initiative: An Interpretation of Alibaba’s Network Security - Based on the Information Security and Strategic Layout of Alibaba Group and Ant Financial Services Group under the “Internet +” Initiative. Journal of Information Security Research, 384 - 395. Available at https://d.wanfangdata.com.cn/periodical/Ch9QZXJpb2RpY2F sQ0hJTmV3UzIwMjUwMTE2MTYzNjE0Eg94eGFxeWoyMD E2MDUwMDEaCGwzNjVuaXFj (Accessed: May 3, 2025).
[14] CSDN (2025) Agent Case Analysis: Agents in Financial Scenarios - An Ant Financial Services Case. Available at https:// blog.csdn.net/beautifulmemory/article/details/144633567 (Accessed: May 3, 2025)
[15] BiaNews (2021). The First Domestic Interactive Risk Control Standard Based on Trusted AI Is Approved for Development, Led by Ant Group. Available at https://www. bianews.com/news/details?id=112165 (Accessed: May 3, 2025)
[16] Wang, T. (2024). The Integrated Development and Challenges of Blockchain and Artificial Intelligence. Inner Mongolia Science Technology & Economy, (13), 33 - 35+40. Available at https://doi.org/10.1007—6921(2024)13—0033—03 (Accessed: May 3, 2025).
[17] Daniel Martinez, Lena Magdalena and Agnes Novalita Savitri (2024). AI and Blockchain Integration: Enhancing Security and Transparency in Financial Transactions. Available at AI and Blockchain Integration: Enhancing Security and Transparency in Financial Transactions | International Transactions on Artificial Intelligence (Accessed: May 3, 2025)
[18] Xuelin Dong, Qi Huang, Lili Zhu (2024). Risk Regulatory Analysis of Internet Finance Enterprises——Take the Ant Financial Platform as an Example. Available at https://francispress.com/papers/15127 (Accessed: May 3, 2025)
[19] Satyadhar Joshi (2025). Review of Gen AI Models for Financial Risk Management. Available at https://ijsrcseit.com/ index.php/home/article/view/CSEIT2511114 (Accessed: May 3, 2025)
[20] Jia, P. F., & Cao, J. H. (2022). An Overview of the Integration of Blockchain with Robotics and Artificial Intelligence. Value Engineering, 41(26), 160 - 162. Available at https://doi.org/10.3969/j.issn.1006 - 4311.2022.26.052 (Accessed: May 3, 2025).
[21] Li, Z. W., Kong, D. C., Niu, Y. Z., et al. (2023). Towards a Privacy - preserving Research for AI and Blockchain Integration. Journal of Information Security Research, 9(6), 557 - 565. Available at https://doi.org/10.12379/j.issn.2096 - 1057.2023.06.08 (Accessed: May 3, 2025).
[22] Shen, H., Ling, J., & Jiao, S. B. (2023). Research on the Secure Application of Artificial Intelligence and Blockchain Technology in Smart Supply Chains. Secrecy Science and Technology, (10), 39 - 45. Available at https://www. zhangqiaokeyan.com/academic-journal-cn_secrecy-sciencetechnology_thesis/02012106731494.html (Accessed: May 3, 2025).
[23] Ding, X. W., & Su, X. N. (2019). Financial Security Intelligence Analysis Based on Blockchain Driven Trustable Big Data and AI. Journal of the China Society for Scientific and Technical Information, 38(12), 1297 - 1309. Available at https:// doi.org/10.3772/j.issn.1000 - 0135.2019.12.007 (Accessed: May 3, 2025).
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