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Cited by 321Artificial Intelligence ApplicationsTopic ModelingSpeech and dialogue systems

ChatGPT: Applications, Opportunities, and Threats

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Bahrini, Aram, Khamoshifar, Mohammadsadra, Abbasimehr, Hossein, Riggs, Robert J., Esmaeili, Maryam, Majdabadkohne, Rastin Mastali, Pasehvar, Morteza·2023·2023 Systems and Information Engineering Design Symposium (SIEDS)
DOI 10.1109/sieds58326.2023.10137850
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Abstract

Developed by OpenAI, ChatGPT (Conditional Generative Pre-trained Transformer) is an artificial intelligence technology that is fine-tuned using supervised machine learning and reinforcement learning techniques, allowing a computer to generate natural language conversation fully autonomously. ChatGPT is built on the transformer architecture and trained on millions of conversations from various sources. The system combines the power of pre-trained deep learning models with a programmability layer to provide a strong base for generating natural language conversations. In this study, after reviewing the existing literature, we examine the applications, opportunities, and threats of ChatGPT in 10 main domains, providing detailed examples for the business and industry as well as education. We also conducted an experimental study, checking the effectiveness and comparing the performances of GPT-3.5 and GPT-4, and found that the latter performs significantly better. Despite its exceptional ability to generate natural-sounding responses, the authors believe that ChatGPT does not possess the same level of understanding, empathy, and creativity as a human and cannot fully replace them in most situations.

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  • Overreliance on generative AI tools for academic tasks may damage memory retention, cognitive functioning, and critical thinking abilities.

    “Over time, overreliance on generative AI tools for academic tasks, instead of critical thinking and mental exertion, may damage memory retention, cognitive functioning, and critical thinking abilities (Bahrini et al., 2023; Dwivedi et al., 2023).”

    From Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students (2024) · cites this paper as Bahrini et al., 2023

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Authors
Bahrini, A., Khamoshifar, M., Abbasimehr, H., Riggs, R. J., Esmaeili, M., Majdabadkohne, R. M., & Pasehvar, M.
Affiliations
  • University of Virginia (US)
  • Iran University of Science and Technology (IR)
  • Azarbaijan Shahid Madani University (IR)
  • Alzahra University (IR)
  • Universidad Americana (NI)
  • Islamic Azad University, Tehran (IR)
ORCID
Venue
2023 Systems and Information Engineering Design Symposium (SIEDS)
Publisher
IEEE
Published
2023-04-27
Pages
274-279
DOI
10.1109/sieds58326.2023.10137850
OpenAlex
W4378805624
Cited by
321
References
14
Citations by year
2026: 34 · 2025: 94 · 2024: 140 · 2023: 53
FWCI
56.87
Type
conference paper
Language
en
Open access
Licence
Locations
  • Systems and Information Engineering Design Symposium (publishedVersion)
  • arXiv (Cornell University) (submittedVersion, other-oa)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
Keywords
ChatGPT, large language models, transformer models, natural language generation, conversational AI, GPT-3.5, GPT-4, model performance comparison, business applications, educational software, human-AI comparison

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