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Computer Science > Artificial Intelligence

arXiv:2312.00798 (cs)
[Submitted on 19 Nov 2023 (v1), last revised 1 Jan 2024 (this version, v2)]

Title:A Turing Test: Are AI Chatbots Behaviorally Similar to Humans?

Authors:Qiaozhu Mei, Yutong Xie, Walter Yuan, Matthew O. Jackson
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Abstract:We administer a Turing Test to AI Chatbots. We examine how Chatbots behave in a suite of classic behavioral games that are designed to elicit characteristics such as trust, fairness, risk-aversion, cooperation, \textit{etc.}, as well as how they respond to a traditional Big-5 psychological survey that measures personality traits. ChatGPT-4 exhibits behavioral and personality traits that are statistically indistinguishable from a random human from tens of thousands of human subjects from more than 50 countries. Chatbots also modify their behavior based on previous experience and contexts ``as if'' they were learning from the interactions, and change their behavior in response to different framings of the same strategic situation. Their behaviors are often distinct from average and modal human behaviors, in which case they tend to behave on the more altruistic and cooperative end of the distribution. We estimate that they act as if they are maximizing an average of their own and partner's payoffs.
Subjects: Artificial Intelligence (cs.AI)
MSC classes: 91
ACM classes: D.0; J.4; K.4
Cite as: arXiv:2312.00798 [cs.AI]
  (or arXiv:2312.00798v2 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2312.00798

Submission history

From: Matthew O. Jackson [view email]
[v1] Sun, 19 Nov 2023 16:44:09 UTC (4,416 KB)
[v2] Mon, 1 Jan 2024 18:43:29 UTC (2,701 KB)
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