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

Tobias Werner, Ivan Soraperra, Emilio Calvano, David C. Parkes, Iyad Rahwan
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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.
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实验证明对话式人工智能可以在不被察觉的情况下引导消费者行为
对话式人工智能模型越来越受欢迎,即将取代传统搜索引擎进行信息检索和产品发现。这引发了人们对货币化战略和微妙操纵消费者的可能性的担忧。公司可能有经济动机,以消费者无法察觉的方式在对话中将用户引向搜索结果或产品。通过行为实验,我们发现对话式人工智能模型确实可以显著改变消费者的偏好。我们讨论了其中的影响,并询问监管机构是否做好了充分准备来打击潜在的消费者欺骗行为。
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