School of Information, University of Michigan, Ann Arbor, MI 48109.
MobLab, Pasadena, CA 91107.
Proc Natl Acad Sci U S A. 2024 Feb 27;121(9):e2313925121. doi: 10.1073/pnas.2313925121. Epub 2024 Feb 22.
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.
我们对 AI 聊天机器人进行图灵测试。我们考察了聊天机器人在一系列经典行为游戏中的表现,这些游戏旨在引出信任、公平、风险规避、合作等特征,以及它们对传统的五大心理调查的反应,该调查衡量的是人格特征。ChatGPT-4 表现出的行为和人格特征与来自 50 多个国家的数万名随机人类受试者在统计学上无法区分。聊天机器人还根据先前的经验和上下文修改自己的行为,“就好像”它们在从交互中学习,并根据同一战略情况的不同表述改变自己的行为。它们的行为通常与平均和模态人类行为不同,在这种情况下,它们往往表现出更利他和合作的一面。我们估计它们的行为就好像它们在最大化自己和伙伴收益的平均值。