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The Ethics of AI in Customer Data Analysis: Balancing Personalization and Privacy

VG Prasuna Prasuna

DOI: 10.58257/IJPREMS40873
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Paper Contents

Abstract

Abstract:The fast advancement of artificial intelligence (AI) has transformed digital marketing, allowing businesses to provide highly personalized experiences to their customers. Machine learning, recommendation systems, and predictive analytics have empowered enterprises to tailor content, products, and services on a massive scale. However, these advancements have also raised significant ethical and privacy concerns.This paper explores the ethics of AI in customer data analysis, focusing on the balance between personalization and privacy. We examine the benefits and risks of using AI-driven analysis of customer data addresses concerns of data protection, bias, and transparency. Our assessment emphasizes the necessity of responsible AI practices that prioritize customer trust and well-being.

Copyright

Copyright © 2025 VG Prasuna. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS50500002223
ISSN: 2321-9653
Publisher: ijprems
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The International Journal of Progressive Research in Engineering, Management and Science is a peer-reviewed, open access journal that publishes original research articles in engineering, management, and applied sciences.

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