Designing Ethics-Governed AI Personalization Frameworks in Programmatic Advertising
Keywords:
AI personalization, programmatic advertising ethics, algorithmic transparency, user privacy protection, responsible AI governance, digital ad complianceAbstract
The rapid evolution of artificial intelligence (AI) in programmatic advertising has revolutionized the precision, scalability, and efficiency of digital marketing. However, the integration of AI-powered personalization techniques introduces complex ethical challenges related to user privacy, algorithmic bias, transparency, and informed consent. This paper proposes a literature-driven, ethics-governed framework for AI personalization in programmatic advertising. By synthesizing insights from over 100 peer-reviewed and industry sources, the study explores the tension between hyper-personalized targeting and responsible data stewardship. The research introduces a conceptual model that integrates ethical principles fairness, accountability, transparency, and explainability into AI personalization workflows. This work contributes to the discourse on responsible AI deployment by offering a strategic foundation for advertisers, technologists, and policymakers to ensure consumer trust while maximizing campaign effectiveness.
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