IJCOPE Journal

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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

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

Bachelor of Commerce – International Accounting & Finance
School of Economics and Commerce
CMR University

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Artificial Intelligence (AI) has transformed the financial sector through automation, predictive analytics, fraud detection, and algorithmic decision-making. This study examines major AI applications in banking, investment management, credit risk assessment, and customer service while also addressing ethical concerns such as algorithmic bias, data privacy, and transparency.

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.

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References


  1. Ahmed, S. (2025). Blockchain and AI integration in finance.

  2. Alao, O. (2025). AI-driven credit risk segmentation.

  3. Bakare, A., & Odunaike, A. (2024). Alternative data in credit scoring.

  4. Chauhan, A. (2025). Explainable AI in financial systems.

  5. Horn, M., & Oehler, A. Robo-advisory and automated portfolio management.

  6. Katenova (2025). Behavioral fraud detection using AI.

  7. Pergamenchtchikov, S. (2025). AI-driven financial risk management.

  8. Popescu (2025). Machine learning applications in finance.

  9. Sarkar, R. (2026). AI governance and model documentation.

  10. Shuai, N. (2025). Algorithmic trading systems and market efficiency.

  11. Wan, M. (2025). Data privacy regulations in AI finance.

  12. Yahaya, O. A. (2026). Automated financial risk controls.

  13. 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
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