Key points are not available for this paper at this time.
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, 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.
Building similarity graph...
Analyzing shared references across papers
Loading...
Mei et al. (Thu,) studied this question.
www.synapsesocial.com/papers/68e77f57b6db6435876f338a — DOI: https://doi.org/10.1073/pnas.2313925121
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:
Qiaozhu Mei
Yutong Xie
Walter Yuan
Proceedings of the National Academy of Sciences
Stanford University
University of Michigan
Santa Fe Institute
Building similarity graph...
Analyzing shared references across papers
Loading...