Artificial Intelligence (AI) E-Banking in Bangladesh: An Integrated Model of Consumer Decision-Making, Ethical Trust, and Fraud Prevention

Purpose: This review article investigates the significance of AI-driven e-banking services through a holistic conceptual model considering ethical trust, fraud prevention, and consumer purchase decision-making in the context of Bangladesh's online banking services. Methodology: A narrative literature review was conducted, synthesizing peer-reviewed articles published between 2024-2025 from major databases including Scopus, Web of Science, and IEEE Xplore. The UTAUT2 framework provides the theoretical foundation. Findings: AI adoption in Bangladeshi e-banking enhances customer experience, risk management, process automation, financial inclusion, and regulatory compliance. Ethical trust comprising transparency, fairness, data privacy, reliability, and digital inclusion mediates the relationship between AI implementation and consumer decision-making. Fraud prevention acts as a critical enabler, reducing perceived risk through real-time monitoring and secure authentication. Originality: This study provides the first integrated analysis of AI's tripartite role in Bangladeshi e-banking, extending UTAUT2 by incorporating ethical trust and fraud prevention as mediating mechanisms. For policymakers at Bangladesh Bank, the findings offer evidence-based guidance for developing AI governance frameworks. For commercial banks, the study illuminates specific drivers of ethical trust and user acceptance.