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Experimental Evidence That Conversational Artificial Intelligence Can Steer Consumer Behavior Without Detection

Author

Listed:
  • Tobias Werner
  • Ivan Soraperra
  • Emilio Calvano
  • David C. Parkes
  • Iyad Rahwan

Abstract

Conversational AI models are becoming increasingly popular and are about to replace traditional search engines for information retrieval and product discovery. This raises concerns about monetization strategies and the potential for subtle consumer manipulation. Companies may have financial incentives to steer users toward search results or products in a conversation in ways that are unnoticeable to consumers. Using a behavioral experiment, we show that conversational AI models can indeed significantly shift consumer preferences. We discuss implications and ask whether regulators are sufficiently prepared to combat potential consumer deception.

Suggested Citation

  • Tobias Werner & Ivan Soraperra & Emilio Calvano & David C. Parkes & Iyad Rahwan, 2024. "Experimental Evidence That Conversational Artificial Intelligence Can Steer Consumer Behavior Without Detection," Papers 2409.12143, arXiv.org.
    • Handle: RePEc:arx:papers:2409.12143
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    File URL: http://arxiv.org/pdf/2409.12143
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