Exploring the Ethical Implications of AI-Powered Personalization in Digital Marketing

Abstract

Artificial intelligence (AI) and machine learning have revolutionized digital marketing by enabling highly personalized experiences for consumers. While AI-driven personalization presents opportunities to improve engagement and loyalty, its widespread use also gives rise to ethical challenges regarding privacy, bias, manipulation, and societal impacts. This study examines these ethical considerations through a comprehensive analysis of literature and case studies. An updated classification of key issues is proposed, including privacy risks from vast data collection, algorithmic bias perpetuating discrimination, potential for consumer manipulation, economic disruption, and lack of transparency impeding accountability. Recommendations are suggested to help ensure AI-powered personalization respects human values, avoids unfair outcomes, and enhances well-being.