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INTERNATIONAL JOURNAL OF GLOBAL RESEARCH INNOVATIONS & TECHNOLOGY (IJGRIT) [ Vol. 4 | No. 2 | April - June, 2026 ]

AI-Driven Transformation of India’s Banking Sector: Opportunities, Risks and Regulatory Imperatives

Dr. Meghna Meena

The integration of Artificial Intelligence (AI) into the banking sector is transforming financial intermediation, risk management and customer engagement. In India, this transformation is occurring alongside rapid digitalization and the expansion of financial inclusion initiatives. This paper critically examines the role of AI in enhancing operational efficiency, strengthening risk management frameworks and promoting inclusive finance within the Indian banking system. It further evaluates emerging risks, including algorithmic bias, model opacity, cybersecurity vulnerabilities and systemic concentration risks. The study analyses regulatory responses led by the Reserve Bank of India, particularly the Framework for Responsible and Ethical Enablement of AI (FREE-AI) and situates them within global regulatory discourse. The paper concludes with policy recommendations aimed at ensuring that AI adoption remains ethical, transparent and aligned with financial stability objectives.

Meena, M. (2026). AI-Driven Transformation of India’s Banking Sector: Opportunities, Risks and Regulatory Imperatives. International Journal of Global Research Innovations & Technology, 04(01), 22–30. https://doi.org/10.62823/IJGRIT/04.02.8815
  1. Arner, D. W., Barberis, J., & Buckley, R. P. (2017). FinTech and RegTech: Impact on regulators and banks. Journal of Banking Regulation, 19(4), 1–14.
  2. Barocas, S., & Selbst, A. D. (2016). Big data’s disparate impact. California Law Review, 104(3), 671–732.
  3. Basel Committee on Banking Supervision. (2018). Sound practices: Implications of fintech developments for banks and bank supervisors. Bank for International Settlements.
  4. Brynjolfsson, E., & McAfee, A. (2017). The business of artificial intelligence. Harvard Business Review Press.
  5. Buchak, G., Matvos, G., Piskorski, T., & Seru, A. (2018). Fintech, regulatory arbitrage, and the rise of shadow banks. Journal of Financial Economics, 130(3), 453–483.
  6. Financial Stability Board. (2017). Artificial intelligence and machine learning in financial services: Market developments and financial stability implications.
  7. Fuster, A., Goldsmith-Pinkham, P., Ramadorai, T., & Walther, A. (2019). Predictably unequal? The effects of machine learning on credit markets. The Journal of Finance, 75(2), 815–848.
  8. Government of India. (2023). Digital Personal Data Protection Act, 2023.
  9. Philippon, T. (2016). The fintech opportunity (NBER Working Paper No. 22476). National Bureau of Economic Research.
  10. Reserve Bank of India. (2025). Framework for Responsible and Ethical Enablement of AI (FREE-AI).
  11. Varian, H. R. (2019). Artificial intelligence, economics, and industrial organization. National Bureau of Economic Research Working Paper No. 24839.

DOI:

Article DOI: 10.62823/IJGRIT/04.02.8815

DOI URL: https://doi.org/10.62823/IJGRIT/04.02.8815


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