Problems and Solutions of Artificial Intelligence Technology in Financial Management and Financial Management
Abstract
consensus to enhance operational efficiency. However, the multifaceted challenges arising from deep integration have caused the adoption of
these technologies to lag behind their development.
Keywords
Full Text:
PDFReferences
[1] Shi Tao. Research on the Integration Innovation of Financial Management and Financial Accounting under the Enabling Role of Financial Technology [J]. Shanghai Business, 2025, (03): 104-106.
[2] Dai Lihong, Pan Chao, Cai Xiaofeng, et al. The Intelligent Education Training Model for Applied Talents in the Era of Artificial Intelligence [J]. Journal of Hubei Institute of Technology, 2025, 41(05): 77-81.
[3] Tong Yunfeng. Internal Management Regulation on the Risks of Generative Artificial Intelligence Technology [J]. Science Research,
2024, 42(10): 2038-2046. DOI: 10.16192/j.cnki.1003-2053.20240304.001.
[4] Ge Liyu, Zhong Jiaqi. Research on the Impact of R&D Expense Deduction Policy on the Artificial Intelligence Technological Innovation of Manufacturing Enterprises [J]. Finance Science, 2025, (09): 90-106. DOI: 10.19477/j.cnki.10-1368/f.2025.09.009.
[5] Zhou Xiaqing. Exploration of the Financial Management Transformation of Securities Companies under the Background of Artificial
Intelligence [J]. Market China, 2021, (14): 197-198. DOI: 10.13939/j.cnki.zgsc.2021.14.197.
[6] Yang Yan. Risks and Management Strategies of Artificial Intelligence Technology Application in the Financial Field [J]. Shanghai Enterprise, 2025, (10): 55-57.
[7] Lu Wenli, Lu Shengrong. The Financial Motivation of Artificial Intelligence Enterprise Spatial Layout: Based on the Perspective of
Bank Competition [J/OL]. Finance and Economics Review, 1-15 [2026-02-12]. https://doi.org/10.13762/j.cnki.cjlc.20251230.002.
[8] Lu Chujiang, Zhang Xiaofeng, Du Yuxian. Real-time Prevention and Control of Financial Transaction Risks Driven by Artificial Intelligence [J]. Internet Weekly, 2025, (24): 19-21.
[9] Qiao Penghua, Du Xin, Han Xianping. How Does Generative Artificial Intelligence Improve the Resilience of Manufacturing Enterprises? [J/OL]. Science and Technology Management, 1-22 [2026-02-12]. https://doi.org/10.20201/j.cnki.ssstm.20250827.001.
[10] Chen Shihua, Yu Siqiao. Value Examination of the Evolution of Artificial Intelligence Technology and Social Communication [J]. Jiangsu Social Sciences, 2024, (06): 196-204+244. DOI: 10.13858/j.cnki.cn32-1312/c.20241121.007.
DOI: http://dx.doi.org/10.70711/aitr.v4i1.9648
Refbacks
- There are currently no refbacks.