The Algorithmic Persuader: Ethical Challenges in AI-Powered Behavioral Manipulation in Digital Marketing

Mrinalini Choudhary ()
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Mrinalini Choudhary: Shenandoah University, Virginia, USA

RAIS Conference Proceedings 2022-2025 from Research Association for Interdisciplinary Studies

Abstract: Artificial intelligence has substantially transformed the digital marketing landscape. Marketers continue to rely on advanced algorithms and data-driven insights to create effective marketing campaigns. Future trends indicate that marketers will rely increasingly on Generative AI and AI integration to enhance customer experience through targeted marketing and highly personalized content. As AI progresses, it becomes increasingly important to consider the ethical concerns of using it in marketing. Researchers have highlighted significant ethical concerns about consumer manipulation, discrimination, and data privacy. This research investigates the ethical consequences, particularly analyzing how AI-driven techniques such as predictive modeling and digital nudging might influence customer decisions. It explores the way in which AI algorithms can exploit consumer vulnerabilities and potentially override rational decision-making processes. Based on the findings from current research and industry trends, the paper proposes an ethical framework for AI in digital marketing, emphasizing transparency, consumer autonomy, and the preservation of human agency. Furthermore, this research emphasizes the need to ensure that AI technologies are as a constructive force in marketing that not only protects consumer rights but also retains societal value.

Keywords: Artificial Intelligence; Algorithm; Ethics; Consumer Autonomy; Digital Marketing (search for similar items in EconPapers)
Pages: 7 pages
Date: 2025-04
New Economics Papers: this item is included in nep-cmp and nep-mkt
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Published in Proceedings of the 39th International RAIS Conference on Social Sciences and Humanities, April 17-18, 2025, pages 13-19

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Persistent link: https://EconPapers.repec.org/RePEc:smo:raiswp:0495

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