Navigating the Paradox: The Dynamic AI Trust Framework for Ethical Persuasion in Digital Marketing

Abstract

Generative Artificial Intelligence (GenAI) is reshaping digital marketing by enabling more personalized content and persuasive user experiences at scale. While these capabilities offer significant value to marketers, they also heighten consumer concerns about data privacy, algorithmic transparency, and the authenticity of AI-generated content. This paper introduces the Dynamic AI Trust Framework, a conceptual model that explores how GenAI’s persuasive functions interact with consumer trust and privacy perceptions in digital environments. The framework outlines five interrelated dimensions — algorithmic transparency, user control and agency, data sourcing and security, fairness and bias mitigation, and authenticity and disclosure — as critical components for designing trustworthy and ethical AI-driven marketing strategies. By clarifying how these dimensions operate in practice, the framework provides a foundation for balancing innovation with responsibility, helping brands engage consumers more effectively while respecting their evolving expectations around data and trust.