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A Turing test of whether AI chatbots are behaviorally similar to humans.

Authors :
Qiaozhu Mei
Yutong Xie
Walter Yuan
Jackson, Matthew O.
Source :
Proceedings of the National Academy of Sciences of the United States of America; 2/27/2024, Vol. 121 Issue 9, p1-8, 25p
Publication Year :
2024

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, 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
121
Issue :
9
Database :
Complementary Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
175855566
Full Text :
https://doi.org/10.1073/pnas.2313925121