Warning: foreach() argument must be of type array|object, null given in /www/wwwroot/ojs.iajournals.cn/lib/pkp/classes/submission/SubmissionKeywordDAO.php on line 72
Cultural Representations in Artificial Intelligence and Finance from a Cross-Cultural Perspective | Al lnnovations and Applications

Cultural Representations in Artificial Intelligence and Finance from a Cross-Cultural Perspective

Shengjie Ye (Primary Contact)

School of Compuer Science, Nanchang Institute of Technology, China

Keywords:

Artificial Intelligence, Financial Technology

Published

31-12-2025

Abstract

In recent years, the integration of artificial intelligence (AI) and fintech has driven innovation across various financial sectors. Existing research primarily focuses on the technological advantages and efficiency improvements brought by AI in fintech, but significant gaps remain in our understanding of how AI influences cultural representation. This paper explores the necessity of interdisciplinary research combining AI technology with cultural studies, providing new insights and directions for future AI research in fintech and gaming.

References
  • [1] Luo M, Zhang W, Song T, et al. Rebalancing expanding EV sharing systems with deep reinforcement learning[C]//Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence. 2021: 1338-1344. DOI: https://doi.org/10.24963/ijcai.2020/186

  • [2] Ren L. Causal modeling for fraud detection: Enhancing financial security with interpretable AI[J]. European Journal of Business, Economics & Management, 2025, 1(4): 94-104.

  • [3] Liu Z. Reinforcement learning for prompt optimization in language models: A comprehensive survey of methods, representations, and evaluation challenges[J]. ICCK Transactions on Emerging Topics in Artificial Intelligence, 2025, 2(4): 173-181. DOI: https://doi.org/10.62762/TETAI.2025.790504

  • [4] Yin M. A Data-Driven Approach for Real-Time Bottleneck Detection and Optimization in Semiconductor Manufacturing Using Active Period Method and Visualization[J]. Academic Journal of Natural Science, 2025, 2(4): 19-26. DOI: https://doi.org/10.70393/616a6e73.333534

  • [5] Chen Y. Artificial Intelligence in Economic Applications: Stock Trading, Market Analysis, and Risk Management[J]. Journal of Economic Theory and Business Management, 2025, 2(5): 7-14. DOI: https://doi.org/10.70393/6a6574626d.333232

  • [6] Chen Y. Generative Diffusion Models for Option Pricing: A Novel Framework for Modeling Volatility Dynamics in US Financial Markets[J]. Journal of Industrial Engineering and Applied Science, 2025, 3(6): 23-29. DOI: https://doi.org/10.70393/6a69656173.333338

  • [7] Yin M. Defect Prediction and Optimization in Semiconductor Manufacturing Using Explainable AutoML[J]. Academic Journal of Natural Science, 2025, 2(4): 1-10. DOI: https://doi.org/10.70393/616a6e73.333533

  • [8] Pang F. Research on Incentive Mechanism of Teamwork Based on Unfairness Aversion Preference Model[C]//2020 2nd International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2020: 944-948. DOI: https://doi.org/10.1109/ICEMME51517.2020.00193

  • [9]Chen Y. A Comparative Study of Machine Learning Models for Credit Card Fraud Detection[J]. Academic Journal of Natural Science, 2025, 2(4): 11-18. DOI: https://doi.org/10.70393/616a6e73.333530

  • [10] Pang F. Animal Spirit, Financial Shock and Business Cycle[J]. European Journal of Business, Economics & Management, 2025, 1(2): 15-24.

  • [11] Yin M. Data Quality Control in Semiconductor Manufacturing through Automated ETL Processes and Class Imbalance Handling Techniques[J]. Journal of Industrial Engineering and Applied Science, 2025, 3(6): 13-22. DOI: https://doi.org/10.70393/6a69656173.333532

  • [12] Chen Y. Interpretable Automated Machine Learning for Asset Pricing in US Capital Markets[J]. Journal of Economic Theory and Business Management, 2025, 2(5): 15-21. DOI: https://doi.org/10.70393/6a6574626d.333233

  • [13] Yin M. Predictive Maintenance of Semiconductor Equipment Using Stacking Classifiers and Explainable AI: A Synthetic Data Approach for Fault Detection and Severity Classification[J]. Journal of Industrial Engineering and Applied Science, 2025, 3(6): 36-46. DOI: https://doi.org/10.70393/6a69656173.333439

  • [14] Huang S. Lstm-based deep learning models for long-term inventory forecasting in retail operations[J]. Journal of Computer Technology and Applied Mathematics, 2025, 2(6): 21-25. DOI: https://doi.org/10.70393/6a6374616d.333238

  • [15] Li K, Chen X, Song T, et al. Gptdrawer: Enhancing visual synthesis through chatgpt[C]//2025 5th International Conference on Neural Networks, Information and Communication Engineering (NNICE). IEEE, 2025: 368-372. DOI: https://doi.org/10.1109/NNICE64954.2025.11064518

PDF
Issue
Vol. 1 No. 1 (2025)
Section
文章
License

How to Cite

Shengjie Ye. (2025). Cultural Representations in Artificial Intelligence and Finance from a Cross-Cultural Perspective. Al Lnnovations and Applications, 1(1), 105-114. https://doi.org/10.63944/2b0r.AIA