# ChatGPT: Applications, Opportunities, and Threats

**Authors:** Aram Bahrini, Mohammadsadra Khamoshifar, Hossein Abbasimehr, Robert J. Riggs, Maryam Esmaeili, Rastin Mastali Majdabadkohne, Morteza Pasehvar  
**arXiv:** [2304.09103](https://arxiv.org/abs/2304.09103)  
**Date:** 2023-04-14  
**Summary page:** https://www.summarizepaper.com/en/paper/2304.09103v1/

## Key points

- ChatGPT is an advanced artificial intelligence technology developed by OpenAI
- It uses supervised machine learning and reinforcement learning techniques to generate natural language conversations autonomously
- The system is built on the transformer architecture and trained on millions of conversations from various sources
- It combines pre-trained deep learning models with a programmability layer to provide a strong base for generating natural language responses
- The research was accepted for publication at IEEE Systems and Information Engineering Design Symposium (SIEDS) 2023 and was authored by Aram Bahrini, Mohammadsadra Khamoshifar, Hossein Abbasimehr, Robert J. Riggs, Maryam Esmaeili, Rastin Mastali Majdabadkohne, and Morteza Pasehvar.
- In this study, the authors review existing literature and examine the applications, opportunities, and threats of ChatGPT in 10 main domains including business, industry, and education.
- An experimental study comparing the performances of GPT-3.5 and GPT-4 was conducted as well; it found that GPT-4 performs significantly better than its predecessor.
- Despite its exceptional ability to generate natural-sounding responses, ChatGPT does not possess the same level of understanding, empathy or creativity as humans; thus it cannot fully replace them in most situations.

## Summary

ChatGPT is an advanced artificial intelligence technology developed by OpenAI that uses supervised machine learning and reinforcement learning techniques to generate natural language conversations autonomously. The system is built on the transformer architecture and trained on millions of conversations from various sources, combining pre-trained deep learning models with a programmability layer to provide a strong base for generating natural language responses. This research was accepted for publication at IEEE Systems and Information Engineering Design Symposium (SIEDS) 2023 and was authored by Aram Bahrini, Mohammadsadra Khamoshifar, Hossein Abbasimehr, Robert J. Riggs, Maryam Esmaeili, Rastin Mastali Majdabadkohne, and Morteza Pasehvar. In this study, the authors review existing literature and examine the applications, opportunities, and threats of ChatGPT in 10 main domains including business, industry, and education. An experimental study comparing the performances of GPT-3.5 and GPT-4 was conducted as well; it found that GPT-4 performs significantly better than its predecessor. Despite its exceptional ability to generate natural-sounding responses, ChatGPT does not possess the same level of understanding, empathy or creativity as humans; thus it cannot fully replace them in most situations.