Year: 2024
Type: article
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, 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.
Source: Data Intelligence
Authors: Amin Karami, Milad Shemshaki, Mustansar Ali Ghazanfar
Institution: University of East London
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4402279020