AI's evolving impact in US banking: An insightful review

Akoh Atadoga 1, Ogugua Chimezie Obi 2, Shedrack Onwusinkwue 3, Samuel Onimisi Dawodu 4, Femi Osasona 5 and Andrew Ifesinachi Daraojimba 6, *

1 Independent Researcher, San Francisco, USA.
2 Independent Researcher, Lagos, Nigeria.
3 Department of Physics, University of Benin, Nigeria.
4 NDIC, Nigeria.
5 Scottish Water, UK.
6 Department of Information Management, Ahmadu Bello University, Zaria, Nigeria.
 
Review
International Journal of Science and Research Archive, 2024, 11(01), 904–922.
Article DOI: 10.30574/ijsra.2024.11.1.0157
Publication history: 
Received on 19 December 2023; revised on 27 January 2024; accepted on 30 January 2024
 
Abstract: 
This paper presents an in-depth review of the evolving impact of Artificial Intelligence (AI) in the US banking sector, focusing on how AI technologies are revolutionizing various aspects of banking operations. The review synthesizes information from a wide range of sources, including industry reports, academic literature, case studies, and expert interviews, to provide a comprehensive understanding of AI's role in the banking industry.
The key findings of the review indicate that AI has significantly improved operational efficiencies in banks by automating routine tasks and enhancing decision-making processes. AI applications in customer service, such as chatbots and virtual assistants, have transformed customer interactions by offering round-the-clock support and personalized financial advice. In the realm of risk management, AI algorithms have proven effective in detecting fraudulent activities and managing credit risks, outperforming traditional methods through advanced data analysis capabilities. Additionally, AI is playing a crucial role in helping banks comply with regulatory requirements by automating compliance processes and conducting real-time transaction monitoring.
The review concludes that AI offers substantial opportunities for innovation and efficiency in the US banking sector. However, it also highlights the challenges associated with AI adoption, including ethical issues, data privacy concerns, and the imperative for workforce up skilling. The paper emphasizes the need for a strategic approach to AI integration in banking, where technological advancements are balanced with human oversight, ethical considerations, and regulatory compliance to maximize the benefits of AI while mitigating its risks
 
Keywords: 
Artificial Intelligence; US Banking Sector; Technological Innovation; Customer Experience Enhancement; Risk Management; Fraud Detection; Credit Risk Assessment; Ethical Considerations; Data Privacy; Regulatory Compliance; Algorithmic Transparency; AI Integration Challenges; Future Trends in Banking; Digital Transformation; Personalized Banking Services
 
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