Impact of Chat GPT on Scientific Research: Opportunities, Risks, Limitations, and Ethical Issues
DOI:
https://doi.org/10.52866/ijcsm.2023.04.04.002Keywords:
Chat GPT, Scientific Research, Opportunities, Risks, Limitations, Ethical IssuesAbstract
The creation of chatbots, such as Generative Pre-trained Transformer (GPT), is a result of recent developments in natural language processing (NLP). Even though Chat GPT has demonstrated enormous promise in a number of areas, including scientific research, this impact is still developing. This paper attempts to investigate the possibilities, threats, limits, and ethical issues surrounding Chat GPT in scientific research. The assessment of the literature on Chat GPT and scientific research is followed by the presentation of case examples that demonstrate the potential advantages and difficulties of Chat GPT use in scientific research. Finally, we conclude by pointing about the ethical issues that need to be tackled before Chat GPT can be completely utilized in scientific research.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Omar Ibrahim Obaid, Ahmed Hussein Ali, Mohanad Ghazi Yaseen
This work is licensed under a Creative Commons Attribution 4.0 International License.
Most read articles by the same author(s)
- Mohammad Aljanabi, Mohanad Ghazi, Ahmed Hussein Ali, Saad Abas Abed, ChatGpt, ChatGpt: Open Possibilities , Iraqi Journal For Computer Science and Mathematics: Vol. 4 No. 1 (2023)
- Omar Ibrahim Obaid, Analysis of H-index and Papers Citation in Computer Science Field using K-Means Clustering Algorithm , Iraqi Journal For Computer Science and Mathematics: Vol. 4 No. 2 (2023)
- Mohammad Aljanabi, Mohanad Ghazi Yaseen, Ahmed Hussein Ali, Mostafa Abdulghafoor Mohammed, Prompt Engineering: Guiding the Way to Effective Large Language Models , Iraqi Journal For Computer Science and Mathematics: Vol. 4 No. 4 (2023)
- Ahmed Hussein Ali, Mahmood Zaki Abdullah, Shams N. Abdul-wahab, Mohammad Alsajri, A Brief Review of Big Data Analytics Based on Machine Learning , Iraqi Journal For Computer Science and Mathematics: Vol. 1 No. 2 (2020)