ChatGPT: More Human-Like Than Computer-Like, but Not Necessarily in a Good Way

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Large language models have been shown to be useful in multiple domains including conversational agents, education, and explainable AI. ChatGPT is a large language model developed by OpenAI as a conversational agent. ChatGPT was trained on data generated by humans and by receiving human feedback. This training process results in a bias toward humans' traits and preferences. In this paper, we stress multiple biases of ChatGPT, and show that its responses demonstrate many human traits. We begin by showing a very high correlation between the frequency of digits generated by ChatGPT and humans' favorite numbers, with the most frequent digit generated by ChatGPT, matching humans' most favorable number, 7. We continue by showing that ChatGPT's responses in several social experiments are much closer to those of humans' than to those of fully rational agents. Finally, we show that several cognitive biases, known in humans, are also present in ChatGPT's responses.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE 35th International Conference on Tools with Artificial Intelligence, ICTAI 2023
PublisherIEEE Computer Society
Pages468-473
Number of pages6
ISBN (Electronic)9798350342734
DOIs
StatePublished - 2023
Event35th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2023 - Atlanta, United States
Duration: 6 Nov 20238 Nov 2023

Publication series

NameProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
ISSN (Print)1082-3409

Conference

Conference35th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2023
Country/TerritoryUnited States
CityAtlanta
Period6/11/238/11/23

Keywords

  • ChatGPT
  • Cognitive biases
  • Rational behavior

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