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Human or Not? A Gamified Approach To The Turing Test
Daniel Jannai, Amos Meron, Barak Lenz, Yoav Levine, Yoav Shoham
Publication Date
URL:
31 May 2023
Paper Abstract
We present “Human or Not?”, an online game inspired by the Turing test, that
measures the capability of AI chatbots to mimic humans in dialog, and of humans
to tell bots from other humans. Over the course of a month, the game was played
by over 1.5 million users who engaged in anonymous two-minute chat sessions
with either another human or an AI language model which was prompted to behave like humans. The task of the players was to correctly guess whether they
spoke to a person or to an AI. This largest scale Turing-style test conducted to
date revealed some interesting facts. For example, overall users guessed the identity of their partners correctly in only 68% of the games. In the subset of the games
in which users faced an AI bot, users had even lower correct guess rates of 60%
(that is, not much higher than chance). This white paper details the development,
deployment, and results of this unique experiment. While this experiment calls
for many extensions and refinements, these findings already begin to shed light on
the inevitable near future which will commingle humans and AI.

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