Navigating the Ethical Frontier: AI-Driven Advertising and Bias Mitigation

Ameya Gokhale ()

International Journal of Computing and Engineering, 2025, vol. 7, issue 7, 14 - 24

Abstract: Integrating AI and Large Language Models in advertising has transformed the digital marketing landscape through enhanced personalization, predictive audience segmentation, and automated content generation. While these advancements have significantly improved campaign effectiveness and targeting accuracy, they also present critical ethical challenges, particularly in algorithmic bias and data privacy concerns. This article examines the manifestation of bias in ad targeting, content generation, and audience segmentation, while proposing comprehensive technical solutions for bias mitigation. Organizations can achieve ethical compliance and advertising effectiveness by implementing bias-aware frameworks, human-AI collaborative systems, and transparent technical architectures. The article demonstrates that properly integrating ethical considerations and transparent data practices can enhance consumer trust while maintaining high performance in AI-driven advertising systems.

Keywords: Algorithmic Bias; Ethical AI; Digital Advertising; Consumer Trust; Technical Transparency (search for similar items in EconPapers)
Date: 2025
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