Revisiting the use of ChatGPT in Business and Educational Fields: Possibilities and Challenges

Authors

  • Sk Rezwan Shihab Kent State University, USA
  • Nahida Sultana Khulna University, Bangladesh
  • Abdul Samad Faculty of veterinary and Animal Sciences MNS University of Agriculture 25000, Multan Pakistan https://orcid.org/0000-0002-4724-3363

Keywords:

CHATGPT, business, education, versions of CHATGPT, journals, books

Abstract

ChatGPT is the commonly known platform of modern natural language processing technology, developed by OpenAI. It is based on the GPT-3.5 architecture, an extension of the GPT-3 model that has undergone additional performance and efficiency optimization. The model is made to interpret inputs in natural language and provide human-like answers. A sizable amount of text data from numerous sources, including books, journals, and websites, was used to train it. To train the model to recognize the patterns and structure of natural language, unsupervised learning approaches are used. Overall, ChatGPT is a major advance in natural language processing and has the potential to completely change how we communicate with machines. It's conceivable that ChatGPT will be used in more sophisticated ways across a range of industries, from education to entertainment and beyond, as technology advances. ChatGPT has been utilized for research in addition to its potential uses in many fields. The concept has been used by researchers to investigate the social and cultural implications of language use as well as the patterns and structures of natural language. ChatGPT does have some restrictions, despite its many uses. Understanding the nuances and intricacies of human languages, such as sarcasm, irony, and humor, is one of the hardest hurdles in natural language processing. Due to ChatGPT's limited capacity to comprehend and produce responses that reflect these subtleties, it occasionally produces unsuitable or irrelevant responses. The amount of computing required by ChatGPT presents another difficulty. The model needs a lot of processing power to run, which can make it challenging to implement in environments with few resources. Researchers are investigating novel methods and approaches to natural language processing to address these issues, including creating new models that can better comprehend the subtleties of human language and enhancing the effectiveness of current models. In general, ChatGPT is a significant advancement in natural language processing and has the potential to change how we communicate with machines. In the years to come, it's possible that ChatGPT and other natural language processing models will be used in ever more sophisticated ways as technology develops and improves. .

 

Author Biographies

Sk Rezwan Shihab, Kent State University, USA

 

 

Nahida Sultana, Khulna University, Bangladesh

 

 

References

Sarker, I.H. AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems. SN Comput. Sci. 2022, 3, 158.

Korteling, J.E.; van de Boer-Visschedijk, G.C.; Blankendaal, R.A.M.; Boonekamp, R.C.; Eikelboom, A.R. Human- versus Artificial Intelligence. Front. Artif. Intell. 2021, 4, 622364.

McCarthy, J.; Minsky, M.L.; Rochester, N.; Shannon, C.E. A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955. AI Mag. 2006, 27, 12.

Siddiq, M. (2023). Exploring the Role of Machine Learning in Contact Tracing for Public Health: Benefits, Challenges, and Ethical Considerations. American Journal of Economic and Management Business (AJEMB), 2(4), 89-103.

Kaur, G., Rehncy, J., Kahal, K. S., Singh, J., Sharma, V., Matreja, P. S., & Grewal, H. (2020). Case-based learning as an effective tool in teaching pharmacology to undergraduate medical students in a large group setting. Journal of Medical Education and Curricular Development, 7, 2382120520920640.

Domingos, P. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, 1st ed.; Basic Books, A Member of the Perseus Books Group: New York, NY, USA, 2018; p. 329.

Flor, L. S., Friedman, J., Spencer, C. N., Cagney, J., Arrieta, A., Herbert, M. E., ... & Gakidou, E. (2022). Quantifying the effects of the COVID-19 pandemic on gender equality on health, social, and economic indicators: a comprehensive review of data from March, 2020, to September, 2021. The Lancet, 399(10344), 2381-2397.

Kim, S., Lee, J., & Gweon, G. (2019, May). Comparing data from chatbot and web surveys: Effects of platform and conversational style on survey response quality. In Proceedings of the 2019 CHI conference on human factors in computing systems (pp. 1-12).

OpenAI. OpenAI: Models GPT-3. Available online: https://beta.openai.com/docs/models (accessed on 14 January 2023).

Brown, T.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J.D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A. Language models are few-shot learners. Adv. Neural Inf. Process. Syst. 2020, 33, 1877–1901.

Siddiq, M. (2022). Revolutionizing Drug Discovery; Transformative Role of Machine Learning. BULLET: Jurnal Multidisiplin Ilmu, 1(02), 162-170.

Wogu, I.A.P.; Olu-Owolabi, F.E.; Assibong, P.A.; Agoha, B.C.; Sholarin, M.; Elegbeleye, A.; Igbokwe, D.; Apeh, H.A. Artificial intelligence, alienation and ontological problems of other minds: A critical investigation into the future of man and machines. In Proceedings of the 2017 International Conference on Computing Networking and Informatics (ICCNI), Lagos, Nigeria, 29–31 October 2017; pp. 1–10.

Howard, J. Artificial intelligence: Implications for the future of work. Am. J. Ind. Med. 2019, 62, 917–926.

Tai, M.C. The impact of artificial intelligence on human society and bioethics. Tzu Chi. Med J. 2020, 32, 339–343.

Deng, J.; Lin, Y. The Benefits and Challenges of ChatGPT: An Overview. Front. Comput. Intell. Syst. 2023, 2, 81–83.

Siddiq, M. (2020). ML-based Medical Image Analysis for Anomaly Detection in CT Scans, X-rays, and MRIs. Devotion Journal of Community Service, 2(1), 53-64.

Stokel-Walker, C. AI bot ChatGPT writes smart essays—Should professors worry? Nature, 9 December 2022.

Shihab, S. R. (2018). Determinants of high enrolment and school dropouts in primary and lower secondary schools: A comparative educational appraisal among South Asian Countries. IOSR Journal of Humanities and Social Science, 23(5), 72-81.

Sallam, M.; Salim, N.A.; Al-Tammemi, A.B.; Barakat, M.; Fayyad, D.; Hallit, S.; Harapan, H.; Hallit, R.; Mahafzah, A. ChatGPT Output Regarding Compulsory Vaccination and COVID-19 Vaccine Conspiracy: A Descriptive Study at the Outset of a Paradigm Shift in Online Search for Information. Cureus 2023, 15, e35029.

Shihab, S. R., & Sultana, N. (2017). Sensing the necessity and impacts of private tuition in English among secondary students in Khulna, Bangladesh. Global Journal of Human-Social Science Research, 17(6).

Paranjape, K.; Schinkel, M.; Nannan Panday, R.; Car, J.; Nanayakkara, P. Introducing Artificial Intelligence Training in Medical Education. JMIR Med. Educ. 2019, 5, e16048.

Gandolfi, E., Vongunten, E., & Shihab, R. (2022, April). Updating the game for a new today: In-service teachers’ perspectives on online gaming and education during the pandemic. In Society for Information Technology & Teacher Education International Conference (pp. 1648-1653). Association for the Advancement of Computing in Education (AACE).

Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med. 2009, 6, e1000097.

Harzing, A.-W. Publish or Perish. Available online: https://harzing.com/resources/publish-or-perish (accessed on 16 February 2023).

Chen, T.J. ChatGPT and Other Artificial Intelligence Applications Speed up Scientific Writing. Available online: https://journals.lww.com/jcma/Citation/9900/ChatGPT_and_other_artificial_intelligence.174.aspx (accessed on 16 February 2023).

Sreenivasu, S. V. N., Sathesh Kumar, T., Bin Hussain, O., Yeruva, A. R., Kabat, S. R., & Chaturvedi, A. (2023). Cloud Based Electric Vehicle’s Temperature Monitoring System Using IOT. Cybernetics and Systems, 1-16.

Kitamura, F.C. ChatGPT Is Shaping the Future of Medical Writing but Still Requires Human Judgment. Radiology 2023, 230171.

Lubowitz, J. ChatGPT, An Artificial Intelligence Chatbot, Is Impacting Medical Literature. Arthroscopy, 2023; in press.

Nature editorial. Tools such as ChatGPT threaten transparent science; here are our ground rules for their use. Nature 2023, 613, 612.

Moons, P.; Van Bulck, L. ChatGPT: Can artificial intelligence language models be of value for cardiovascular nurses and allied health professionals. Available online: https://academic.oup.com/eurjcn/advance-article/doi/10.1093/eurjcn/zvad022/7031481 (accessed on 8 February 2023).

Cahan, P.; Treutlein, B. A conversation with ChatGPT on the role of computational systems biology in stem cell research. Stem. Cell. Rep. 2023, 18, 1–2.

Ahn, C. Exploring ChatGPT for information of cardiopulmonary resuscitation. Resuscitation 2023, 185, 109729.

Gunawan, J. Exploring the future of nursing: Insights from the ChatGPT model. Belitung Nurs. J. 2023, 9, 1–5.

D’Amico, R.S.; White, T.G.; Shah, H.A.; Langer, D.J. I Asked a ChatGPT to Write an Editorial About How We Can Incorporate Chatbots Into Neurosurgical Research and Patient Care. Neurosurgery 2023, 92, 993–994.

Fijačko, N.; Gosak, L.; Štiglic, G.; Picard, C.T.; John Douma, M. Can ChatGPT Pass the Life Support Exams without Entering the American Heart Association Course? Resuscitation 2023, 185, 109732.

Mbakwe, A.B.; Lourentzou, I.; Celi, L.A.; Mechanic, O.J.; Dagan, A. ChatGPT passing USMLE shines a spotlight on the flaws of medical education. PLoS Digit. Health 2023, 2, e0000205.

Huh, S. Issues in the 3rd year of the COVID-19 pandemic, including computer-based testing, study design, ChatGPT, journal metrics, and appreciation to reviewers. J. Educ. Eval. Health Prof. 2023, 20, 5.

O’Connor, S. Open artificial intelligence platforms in nursing education: Tools for academic progress or abuse? Nurse Educ. Pract. 2023, 66, 103537.

Shen, Y.; Heacock, L.; Elias, J.; Hentel, K.D.; Reig, B.; Shih, G.; Moy, L. ChatGPT and Other Large Language Models Are Double-edged Swords. Radiology 2023, 230163.

Gordijn, B.; Have, H.t. ChatGPT: Evolution or revolution? Med. Health Care Philos. 2023, 26, 1–2.

Rahman, M. S., Sabbir, M. M., Zhang, J., Moral, I. H., & Hossain, G. M. S. (2022). Examining students’ intention to use ChatGPT: Does trust matter?. Australasian Journal of Educational Technology, 51-71.

Noever, D., & Ciolino, M. (2022). The turing deception. arXiv preprint arXiv:2212.06721.

Hutson, J. (2022). Integrating art and AI: Evaluating the educational impact of AI tools in digital art history learning. Forum for Art Studies. 2024; 1 (1): 39

Downloads

Published

2023-06-04

How to Cite

Sk Rezwan Shihab, Nahida Sultana, & Abdul Samad. (2023). Revisiting the use of ChatGPT in Business and Educational Fields: Possibilities and Challenges. BULLET : Jurnal Multidisiplin Ilmu, 2(3), 534–545. Retrieved from https://journal.mediapublikasi.id/index.php/bullet/article/view/2761

Most read articles by the same author(s)