This research proposal, submitted by Kevin CHUMUN from UOS-RKC, investigates the advantages of Artificial Intelligence (AI) in the banking sector, specifically retail banking. It outlines the research aim, objectives, and questions, including the current and future use of AI in banking. The proposal details the research methodology, including an interpretivism philosophy, inductive approach, descriptive design, and a combination of interview strategy and literature review for data collection. The study also addresses foreseen limitations and provides a research schedule. The literature review covers the meaning and relevancy of AI, its use in the banking sector, the advantages and disadvantages, and its future potential. The research aims to develop an understanding of AI's role in preventing money laundering, fraud, and risk exposure. The proposal includes a detailed outline of the study's organization, from introduction to conclusion, and references relevant literature. The proposal also highlights the use of AI in various banking operations like fraud detection, customer service, and risk assessment, while acknowledging the need for regulatory compliance and cybersecurity. The research concludes with recommendations based on the findings.
![[object Object]](/_next/static/media/star-bottom.7253800d.svg)
