This paper investigates customer perceptions of data privacy in AI-enhanced financial services, emphasizing the critical role of trust, transparency, and ethical data management. It explores how privacy concerns influence customer acceptance and engagement with AI-driven financial products, highlighting the balance between personalization benefits and data security risks. Through analytical assessment, the study identifies key factors shaping customer confidence and suggests strategies for financial institutions to foster privacy-conscious AI adoption while enhancing service quality. The findings contribute valuable insights for policymakers and practitioners navigating privacy challenges in AI-enabled finance.
Amin et al. (Wed,) studied this question.
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