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

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, manip-ulation, 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 pri-vacy 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.