[Paper Review] A Review of ChatGPT Applications in Education, Marketing, Software Engineering, and Healthcare: Benefits, Drawbacks, and Research Directions

Mohammad Fraiwan, Natheer Khasawneh|arXiv (Cornell University)|Apr 29, 2023

Artificial Intelligence in Healthcare and Education58 citations

TL;DR

A survey of how ChatGPT and similar language models can be applied across education, marketing, software engineering, and healthcare, highlighting benefits, drawbacks, and future research directions.

ABSTRACT

ChatGPT is a type of artificial intelligence language model that uses deep learning algorithms to generate human-like responses to text-based prompts. The introduction of the latest ChatGPT version in November of 2022 has caused shockwaves in the industrial and academic communities for its powerful capabilities, plethora of possible applications, and the great possibility for abuse. At the time of writing this work, several other language models (e.g., Google Bard and Meta LLaMA) just came out in an attempt to get a foothold in the vast possible market. These models have the ability to revolutionize the way we interact with computers and have potential applications in many fields, including education, software engineering, healthcare, and marketing. In this paper, we will discuss the possible applications, drawbacks, and research directions using advanced language Chatbots (e.g., ChatGPT) in each of these fields. We first start with a brief introduction and the development timeline of artificial intelligence based language models, then we go through possible applications of such models, after that we discuss the limitations and drawbacks of the current technological state of the art, and finally we point out future possible research directions.

Motivation & Objective

• Motivate the study by outlining the emergence and impact of advanced language models like ChatGPT since November 2022.
• Survey potential applications of ChatGPT across education, marketing, software engineering, and healthcare.
• Discuss limitations and drawbacks of current state-of-the-art language models.
• Identify promising future research directions in each application domain.

Proposed method

• Synthesize existing discussions on ChatGPT-like models and their capabilities.
• Organize analysis by application domain (education, marketing, software engineering, healthcare).
• Highlight benefits and potential abuses of the technology.
• Propose directions for future research and development in the field.

Experimental results

Research questions

• RQ1 What are the possible applications of advanced language models like ChatGPT in education, marketing, software engineering, and healthcare?
• RQ2 What are the limitations and drawbacks of current language models in these domains?
• RQ3 What future research directions are most promising to address these drawbacks and unlock beneficial applications?

Key findings

• ChatGPT has powerful capabilities that can revolutionize interaction with computers across multiple fields.
• There are notable risks of abuse and limitations in current technology that require cautious consideration.
• The paper outlines domain-specific benefits, drawbacks, and suggested directions for future research in education, marketing, software engineering, and healthcare.