Article’s

Artificial intelligence has transformed digital marketing by enabling automated personalization, audience targeting, and decision-making. While these technologies improve marketing efficiency, they also introduce ethical concerns such as privacy violations, opaque consent mechanisms, algorithmic bias, discriminatory targeting, manipulative interface design, and undisclosed AI-generated content. This study examines these challenges from a Corporate Social Responsibility (CSR) perspective and proposes an integrated governance framework using Explainable Artificial Intelligence (XAI) and machine learning to identify, predict, and mitigate ethical risks in AI-driven marketing campaigns. The study demonstrates that AI-assisted governance significantly improves ethical risk prediction and resource allocation compared to conventional compliance-based approaches. The proposed framework helps organizations strengthen transparency, accountability, fairness, and responsible marketing practices while enhancing stakeholder trust and long-term sustainability