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GenAI Advertising: Risks of Personalizing Ads with LLMs

(Submission) Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Brian Tang, Kaiwen Sun, Noah T. Curran, Florian Schaub, Kang G. Shin

A research project examining the risks of embedding personalized advertisements within chatbot responses. We developed a system that generates targeted ads in LLM chatbot conversations and conducted a user study to assess how ad injection impacts user trust and response quality. I created and evaluated the chatbot's ad personalization engine while running the user study. Our findings revealed that users struggle to detect chatbot ads, and undisclosed ads are rated more favorably, raising ethical concerns about AI-driven advertising.

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