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

Abstract: Artificial intelligence (AI) 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 (What’s Next in CX, n.d.) 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 (Davenport et al., 2020, 30). This research investigates the ethical consequences, particularly analyzing how AI-driven techniques such as predictive modeling and digital nudging might influence customer decisions (Demandbase, 2024). 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 (Clark, 2024). 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

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-20
DOI
https://doi.org/10.5281/zenodo.15474169
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

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

article en

Abstract

Abstract: Artificial intelligence (AI) 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 (What’s Next in CX, n.d.) 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 (Davenport et al., 2020, 30). This research investigates the ethical consequences, particularly analyzing how AI-driven techniques such as predictive modeling and digital nudging might influence customer decisions (Demandbase, 2024). 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 (Clark, 2024). 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

Zenodo (CERN European Organization for Nuclear Research)
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AI in Service Interactions
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The Algorithmic Persuader: Ethical Challenges in AI-Powered Behavioral Manipulation in Digital Marketing · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS