Published on: May 2026
AI-DRIVEN TRANSFORMATION IN FINANCE: A COMPREHENSIVE REVIEW OF KEY APPLICATIONS, ETHICAL ISSUES, AND FUTURE DIRECTIONS
Abdul Mukhith Nawaz
Dr Nilaish
School of Economics and Commerce
CMR University
Article Status
Available Documents
Abstract
The research uses a Systematic Literature Review (SLR) approach based on literature published between 2018–2026. Findings show that AI improves efficiency, reduces operational costs, enhances fraud prevention, and enables data-driven financial decisions. Emerging technologies such as blockchain integration, generative AI, and quantum computing are expected to further reshape financial services.
The study concludes that while AI offers significant benefits, responsible governance, explainability, and regulatory compliance are essential for sustainable adoption in finance.
Keywords: Artificial Intelligence, Finance, Machine Learning, Fintech, Fraud Detection.
How to Cite this Paper
Nawaz, A. M. (2026). AI-Driven Transformation in Finance: A Comprehensive Review of Key Applications, Ethical Issues, and Future Directions. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.190
Nawaz, Abdul. "AI-Driven Transformation in Finance: A Comprehensive Review of Key Applications, Ethical Issues, and Future Directions." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.190.
Nawaz, Abdul. "AI-Driven Transformation in Finance: A Comprehensive Review of Key Applications, Ethical Issues, and Future Directions." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.190.
References
- Ahmed, S. (2025). Blockchain and AI integration in finance.
- Alao, O. (2025). AI-driven credit risk segmentation.
- Bakare, A., & Odunaike, A. (2024). Alternative data in credit scoring.
- Chauhan, A. (2025). Explainable AI in financial systems.
- Horn, M., & Oehler, A. Robo-advisory and automated portfolio management.
- Katenova (2025). Behavioral fraud detection using AI.
- Pergamenchtchikov, S. (2025). AI-driven financial risk management.
- Popescu (2025). Machine learning applications in finance.
- Sarkar, R. (2026). AI governance and model documentation.
- Shuai, N. (2025). Algorithmic trading systems and market efficiency.
- Wan, M. (2025). Data privacy regulations in AI finance.
- Yahaya, O. A. (2026). Automated financial risk controls.
- Zhang, X. (2025). Deep learning applications in financial analytics.
Ethical Compliance & Review Process
- •All submissions are screened under plagiarism detection.
- •Review follows editorial policy.
- •Authors retain copyright.
- •Peer Review Type: Double-Blind Peer Review
- •Published on: May 08 2026
This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

