The Ethical Implications of ChatGPT AI Chatbot: A Review

Mokdad Tawfeeq, Tawfeeq and Jalal Awqati, Ali and A Jasim, Yaser (2023) The Ethical Implications of ChatGPT AI Chatbot: A Review. JMCER, 2023. pp. 49-57. ISSN 2958-0021

[thumbnail of Research Article] Text (Research Article)
Article_JMCER_26-07-2023.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (692kB)

Abstract

This paper analyses the ethical implications of ChatGPT AI chatbot, a popular natural language processing model. The study gives a background and literature analysis of artificial intelligence (AI) ethics, ethical considerations for chatbot and conversational agents, and existing research on the ethical implications of ChatGPT AI after presenting the technology and describing the complexities of its ethical implications. The section on ethical implications examines possible issues such as privacy concerns; bias; fairness issues, malicious usage, and the influence on human interaction and social skills. The paper then criticizes present ethical rules and regulations and recommends modifications for ChatGPT AI ethical principles. Case studies and examples provide the moral quandaries in ChatGPT AI chatbot usage, successful ethical implementations, and lessons gained. This review outlines the relevance of ethical issues in the processes of construction and deployment of the ChatGPT AI chatbot, the necessity for a multidisciplinary approach to handle its moral implications, and the last thoughts and recommendations for ethical implementation.

Item Type: Article
Uncontrolled Keywords: Artificial Intelligence, Ethics, Human Capital, ChatGPT, Chatbot, OpenAI.
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > Q Science (General)
T Technology > T Technology (General)
Divisions: Department of Accounting > Research papers
Depositing User: ePrints Depositor
Date Deposited: 05 Aug 2025 11:44
Last Modified: 05 Aug 2025 11:44
URI: https://eprints.cihanuniversity.edu.iq/id/eprint/3767

Actions (login required)

View Item
View Item