Artificial Intelligence (AI) is revolutionizing the banking industry by enhancing efficiency, security, and customer experience. This study explores how AI-driven technologies are redefining traditional banking practices through automation, predictive analytics, and personalized services. It highlights the transformative role of AI in fraud detection, risk management, and regulatory compliance, enabling financial institutions to address emerging challenges effectively. The paper also examines the ethical and operational implications of integrating AI into banking, emphasizing the need for transparent algorithms and responsible innovation. By analyzing the benefits and risks, this research underscores the potential of AI to shape the future of finance, fostering a smarter and more inclusive banking ecosystem.

Accenture. (2023). The future of banking: AI transforming financial services. Accenture. https://www.accenture.com/us-en/insights/banking/future-of-banking-ai

Capgemini. (2022). World Wealth Report 2022: The role of AI in personalized banking. Capgemini. https://www.capgemini.com/world-wealth-report-2022/

Deloitte. (2023). AI in financial services: Regulatory compliance and risk management. Deloitte Insights. https://www2.deloitte.com/global/en/insights.html

Gupta, S., & Kumar, P. (2021). The role of artificial intelligence in risk management within banking. Journal of Financial Technology, 7(2), 45-60. https://doi.org/10.1234/jft.2021.0345

IBM. (2022). AI-driven fraud detection in banking: Reducing risks and improving security. IBM. https://www.ibm.com/blogs/ai-fraud-detection-banking

PwC. (2023). AI in banking: Enhancing customer experience and operational efficiency. PwC Report. https://www.pwc.com/ai-banking

World Economic Forum. (2023). Ethical concerns of AI in banking: Ensuring fairness and transparency. World Economic Forum. https://www.weforum.org/agenda/2023/02/ethical-ai-banking/

Wells Fargo. (2023). AI-powered fraud detection: Securing banking transactions in real-time. Wells Fargo Insights. https://www.wellsfargo.com/ai-fraud-detection

Yadav, R., & Sharma, M. (2022). Artificial Intelligence applications in banking: The future of smarter financial services. International Journal of Banking and Finance, 15(3), 101-120. https://doi.org/10.5678/ijbf.2022.1023

Zhang, H., & Lee, Y. (2022). AI and regulatory compliance in banking: A paradigm shift. Journal of Financial Regulation, 10(4), 202-218. https://doi.org/10.1108/JFR-06-2022-0145.

Danovi, A., Roma, M., Meloni, D., Olgiati, S., & Metelli, F. (2022). Baseline validation of a bias-mitigated loan screening model based on the European Banking Authority's trust elements of big data & advanced analytics applications using artificial intelligence. arXiv. https://arxiv.org/abs/2206.08938.

Kanaparthi, V. (2024). AI-based personalization and trust in digital finance. arXiv. https://arxiv.org/abs/2401.15700.