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

The rapid evolution of artificial intelligence (AI) has revolutionized digital marketing, enabling businesses to deliver highly personalized experiences to 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 customer data analysis, including issues of data protection, bias, and transparency.Our assessment highlights the need for responsible AI practices that prioritize customer wellbeing and trust.

Publication Details

Journal
International Journal of Progressive Research in Engineering Management and Science
Published
2025-05-20
DOI
https://doi.org/10.58257/ijprems40873
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37
Controls
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article

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

1 citations
International Journal of Progressive Research in Engineering Management and Science
Ethics and Social Impacts of AI
2.37
article

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

article en
1 citations

Abstract

The rapid evolution of artificial intelligence (AI) has revolutionized digital marketing, enabling businesses to deliver highly personalized experiences to 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 customer data analysis, including issues of data protection, bias, and transparency.Our assessment highlights the need for responsible AI practices that prioritize customer wellbeing and trust.

International Journal of Progressive Research in Engineering Management and Science
Openalex Percentile: Top 12%
Ethics and Social Impacts of AI
2.37
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