Customer perception of data privacy in AI-enhanced financial services: An analytical assessment

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-30
DOI
https://doi.org/10.5281/zenodo.17262912
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
0.00
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article

Customer perception of data privacy in AI-enhanced financial services: An analytical assessment

Zenodo (CERN European Organization for Nuclear Research)
Privacy, Security, and Data Protection
article

Customer perception of data privacy in AI-enhanced financial services: An analytical assessment

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
University of Dhaka (BD), Wichita State University (US)
Openalex Percentile: Top 37%
Privacy, Security, and Data Protection
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