  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.
