Version 1
: Received: 20 October 2023 / Approved: 23 October 2023 / Online: 23 October 2023 (16:16:45 CEST)
How to cite:
Vzorin, G.; Bukinich, A.; Sedykh, A.; Vetrova, I.; Sergienko, E. Emotional Intelligence of GPT-4 Large Language Model. Preprints2023, 2023101458. https://doi.org/10.20944/preprints202310.1458.v1
Vzorin, G.; Bukinich, A.; Sedykh, A.; Vetrova, I.; Sergienko, E. Emotional Intelligence of GPT-4 Large Language Model. Preprints 2023, 2023101458. https://doi.org/10.20944/preprints202310.1458.v1
Vzorin, G.; Bukinich, A.; Sedykh, A.; Vetrova, I.; Sergienko, E. Emotional Intelligence of GPT-4 Large Language Model. Preprints2023, 2023101458. https://doi.org/10.20944/preprints202310.1458.v1
APA Style
Vzorin, G., Bukinich, A., Sedykh, A., Vetrova, I., & Sergienko, E. (2023). Emotional Intelligence of GPT-4 Large Language Model. Preprints. https://doi.org/10.20944/preprints202310.1458.v1
Chicago/Turabian Style
Vzorin, G., Irina Vetrova and Elena Sergienko. 2023 "Emotional Intelligence of GPT-4 Large Language Model" Preprints. https://doi.org/10.20944/preprints202310.1458.v1
Abstract
Current neural network models can demonstrate reasonable-looking behavior, considered by some developers and researchers human-like. For example, a large language model GPT-3 is susceptible to human-like cognitive biases. Yet there is no data of such models solving emotional intelligence (EI) tasks. They are connected to the abilities that has been previously considered as specifically human EI is an important aspect of human communication. The ability to understand and respond to emotional cues is essential for effective communication. Therefore, it is crucial to determine the ways AI models such as ChatGPT demonstrate EI. The present research aims to measure the EI of GPT-4, a large language model trained by OpenAI. Russian version of the Mayer–Salovey–Caruzo Emotional Intelligence Test sections B, C, D, F, G and H were used in this research. High points were obtained in Understanding emotions scale and Strategic EI. Mean points are obtained in Managing emotions scale. Low and less reliable values are obtained in Using emotions to facilitate thought scale. Thus, GPT-4 seems already capable of identifying emotions in text and describing techniques for managing them. However, complex cases and irregular situations requiring emotions qualitative analysis would be a hard task for GPT-4.
Keywords
emotional intelligence; ChatGPT; GPT-4; EI; EQ; artificial empathy; experiential EI; strategic EI; 4 branch model of emotional intelligence
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
