Musadaq A. Hadi¹, Mohammed Najm Abdulredha², and E. Hasan³

¹Control and Systems Engineering Department, University of Technology, Baghdad, Iraq

²Computer Science Department, University of Baghdad, Baghdad, Iraq

³Institute for Mathematics Research, University Putra Malaysia, Malaysia 3Department of Mathematics, University of Baghdad, Al-Jadrriya, Baghdad, Iraq

Received: Oct 14, 2023/ Revised: Nov 4, 2023/Accepted: Nov 6, 2023

(✉) Corresponding Author: Musadaq A. Hadi

Abstract

ChatGPTis an innovative natural language processing (NLP) technology developed by OpenAI. It has revolutionized human- computer interactions by utilizing Machine Learning (ML) and Deep Learning (DL) algorithms. ChatGPT generates a remarkable human-like conversations in response to user input. Consequently, the efficiency of ChatGPT lies in its ability to identify patterns in text, analyze context and produce responses that mimic human conversation. Its use of deep learning techniques which enables it to capture syntactic and semantic structures that resulting in natural-sounding output. Furthermore, its adaptive learning capability allows it to continuously improve and update its language understanding through exposure to a vast amount of user interactions. In this paper, a historical review of ChatGPT is introduced to catch up with the revolution of the Artificial Intelligence (AI) impact on life aspects, economic, financial, military and cybersecurity. Eventually, a comparison is made between ChatGPT versions and other AI platforms to present the effectiveness, weakness and strength points.

Keywords:  ChatGPT, Artificial Intelligence, Machine Learning, Chatbot and Cybersecurity

References

Addington, S. (2023). ChatGPT: Cyber Security Threats and Countermeasures. SSRN Electronic Journal.

https://doi.org/10.2139/ssrn.4425678

Ali, H., & Aysan, A. F. (2023). What will ChatGPT Revolutionize in Financial Industry? SSRN Electronic Journal.

https://doi.org/10.2139/ssrn.4403372

Alıcı, U. I., Oksuztepe, A., Kilincceker, O., & Karaarslan, E. (2023). OpenAI ChatGPT for Smart Contract Security Testing: Discussion and Future Directions. SSRN Electronic Journal.

https://doi.org/10.2139/ssrn.4412215

Anindyati, L. (2023). Analisis dan Perancangan Aplikasi Chatbot Menggunakan Framework Rasa dan Sistem Informasi Pemeliharaan Aplikasi (Studi Kasus: Chatbot Penerimaan Mahasiswa Baru Politeknik Astra). Jurnal Teknologi Informasi Dan Ilmu Komputer, 10(2), 291–300.

https://doi.org/10.25126/jtiik.20231026409

AŞAN, K. (2022). Bağımsız Bisiklet Turistleri. GSI Journals Serie A: Advancements in Tourism Recreation and Sports Sciences, 5(1), 44–57.

https://doi.org/10.53353/atrss.1056986

Asch, D. A., Terwiesch, C., Mahoney, K. B., & Rosin, R. (2014). Insourcing Health Care Innovation. New England Journal of Medicine, 370(19), 1775–1777.

https://doi.org/10.1056/nejmp1401135

Azemi, E. (2023). Criminal Procedure for Computer Crimes. International Journal of Multicultural and Multireligious Understanding, 10(6), 230.

https://doi.org/10.18415/ijmmu.v10i6.4884

Biswas, S. (2023). Role of chat GPT in Microbiology: According to chat GPT. SSRN Electronic Journal.

https://doi.org/10.2139/ssrn.4405385

Biswas, S. (2023). Role of ChatGPT in Cybersecurity. SSRN Electronic Journal.

https://doi.org/10.2139/ssrn.4403584

Cao, Y., & Zhai, J. (2023). Bridging the gap – the impact of ChatGPT on financial research. Journal of Chinese Economic and Business Studies, 21(2), 177–191.

https://doi.org/10.1080/14765284.2023.2212434

Curtis, N. (2023). To ChatGPT or not to ChatGPT? The Impact of Artificial Intelligence on Academic Publishing. Pediatric Infectious Disease Journal, 42(4), 275–275.

https://doi.org/10.1097/inf.0000000000003852

Dale, R. (2020). GPT-3: What’s it good for? Natural Language Engineering, 27(1), 113–118.

https://doi.org/10.1017/s1351324920000601

Ding, J., & Dafoe, A. (2023). Engines of power: Electricity, AI, and general- purpose, military transformations. European Journal of International Security, 8(3), 377–394.

https://doi.org/10.1017/eis.2023.1

Dowling, M., & Lucey, B. (2023). ChatGPT for (Finance) research: The Bananarama Conjecture. Finance Research Letters, 53, 103662.

https://doi.org/10.1016/j.frl.2023.103662

Gill, S. S., & Kaur, R. (2023). ChatGPT: Vision and challenges. Internet of Things and Cyber-Physical Systems, 3, 262–271.

https://doi.org/10.1016/j.iotcps.2023.05.004

Goebel, M., & Gruenwald, L. (1999). A survey of data mining and knowledge discovery software tools. ACM SIGKDD Explorations Newsletter, 1(1), 20–33.

https://doi.org/10.1145/846170.846172

Halaweh, M. (2023). ChatGPT in education: Strategies for responsible implementation. Contemporary Educational Technology, 15(2), ep421.

https://doi.org/10.30935/cedtech/13036

Haleem, A., Javaid, M., & Singh, R. P. (2022). An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 2(4), 100089.

https://doi.org/10.1016/j.tbench.2023.100089

Haque, M. A., & Li, S. (2023). The Potential Use of ChatGPT for Debugging and Bug Fixing. EAI Endorsed Transactions on AI and Robotics, 2(1), e4.

https://doi.org/10.4108/airo.v2i1.3276

Jin, L., Tan, F., & Jiang, S. (2020). Generative Adversarial Network Technologies and Applications in Computer Vision. Computational Intelligence              and                                   Neuroscience,                             2020, 1–17.

https://doi.org/10.1155/2020/1459107

Khabour, S. M., Al-Radaideh, Q. A., & Mustafa, D. (2022). A New Ontology- Based Method for Arabic Sentiment Analysis. Big Data and Cognitive Computing, 6(2), 48.

https://doi.org/10.3390/bdcc6020048

Kumar, N. (2023). Editorial Opinion on Employee Turnover due to Chat GPT and its Impact on Mental Health. Psychology & Psychological Research International Journal, 8(1), 1–2.

https://doi.org/10.23880/pprij-16000321

Leslie, D. (2023). Does the sun rise for ChatGPT? Scientific discovery in the age of generative AI. AI And Ethics.

https://doi.org/10.1007/s43681-023-00315-3

Liu, X., Zheng, Y., Du, Z., Ding, M., Qian, Y., Yang, Z., & Tang, J. (2023). GPT              understands,             too.          AIOpen.

https://doi.org/10.1016/j.aiopen.2023.08.012

Lo, C. K. (2023). What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature. Education Sciences, 13(4), 410.

https://doi.org/10.3390/educsci13040410

Lou, B., Sun, H., & Sun, T. (2023). GPTs and Labor Markets in the Developing Economy: Evidence from China. SSRN Electronic Journal.

https://doi.org/10.2139/ssrn.4426461

Macey-Dare, R. (2023). ChatGPT and Generative AI Systems as Military Ethics Advisors. SSRN       Electronic Journal.

https://doi.org/10.2139/ssrn.4413206

McKee, F., & Noever, D. (2023). Chatbots in a Botnet World. International Journal on Cybernetics & Informatics, 12(2), 77–95.

https://doi.org/10.5121/ijci.2023.120207

Microsoft Windows Azure: Developing Applications for Highly Available Storage of Cloud Service. (2015). International Journal of Science and Research    (IJSR),                                        4(12), 662–665.

https://doi.org/10.21275/v4i12.nov151864

Mijwil, M., Aljanabi, M., & Ali, A. H. (2023). ChatGPT: Exploring the Role of Cybersecurity in the Protection of Medical Information. Mesopotamian Journal of Cyber Security, 18–21.

https://doi.org/10.58496/mjcs/2023/004

Rahman, M. M., & Watanobe, Y. (2023). ChatGPT for Education and Research: Opportunities, Threats, and Strategies. Applied Sciences, 13(9), 5783.

https://doi.org/10.3390/app13095783

Roumeliotis, K. I., & Tselikas, N. D. (2023). ChatGPT and Open-AI Models: A Preliminary Review. Future Internet, 15(6), 192.

https://doi.org/10.3390/fi15060192

Saad Missen, M. M. (2023). How ChatGPT Can Help Improve Quality of Code. SSRN Electronic Journal.

https://doi.org/10.2139/ssrn.4417280

Savage, T., Wang, J., & Shieh, L. (2023). Large Language Models can Target Patients for Best Practice Alerts (Preprint). JMIR Medical Informatics.

https://doi.org/10.2196/49886

Sharma, R. K., & Sharma, S. (2014). Design of HPCF with nearly zero flattened Chromatic Dispersion. International Journal of Engineering and Applied Sciences (IJEAS), 1(2).

https://doi.org/10.31873/ijeas.1.2.06

Shum, H. Y., He, X. D., & Li, D. (2018). From Eliza to XiaoIce: challenges and opportunities with social chatbots. Frontiers of Information Technology & Electronic Engineering, 19(1), 10–26.

https://doi.org/10.1631/fitee.1700826

Singh, H., & Singh, A. (2023). ChatGPT: Systematic Review, Applications, and Agenda for Multidisciplinary Research. Journal of Chinese Economic and                         Business             Studies,             21(2), 193–212.

https://doi.org/10.1080/14765284.2023.2210482

Singh, J., Joesph, M. H., & Jabbar, K. B. A. (2019). Rule-based chabot for student enquiries. Journal of Physics: Conference Series, 1228(1), 012060.

https://doi.org/10.1088/1742- 6596/1228/1/012060

Singh, R., & Gill, S. S. (2023). Edge AI: A survey. Internet of Things and Cyber-Physical  Systems,   3,             71–92.

https://doi.org/10.1016/j.iotcps.2023.02.004

Šlapeta, J. (2023). Are ChatGPT and other pretrained language models good parasitologists? Trends in Parasitology, 39(5), 314–316.

https://doi.org/10.1016/j.pt.2023.02.006

Smutny, P., & Schreiberova, P. (2020). Chatbots for learning: A review of educational chatbots for the Facebook Messenger. Computers & Education, 151, 103862.

https://doi.org/10.1016/j.compedu.2020.103862

Sreeharsha, A. S. S. K., Kesapragada, S. M., & Chalamalasetty, S. P. (2022). Building Chatbot Using Amazon Lex and Integrating with A Chat Application. Interantional journal of scientific research in engineering and management, 06(04).

https://doi.org/10.55041/ijsrem12145

Switzky, L. (2020). ELIZA Effects: Pygmalion and the Early Development of Artificial     Intelligence.             Shaw,       40(1),      50–68.

https://doi.org/10.5325/shaw.40.1.0050

Szabadföldi, I. (2021). Artificial Intelligence in Military Application – Opportunities and Challenges. Land Forces Academy Review, 26(2), 157– 165.

https://doi.org/10.2478/raft-2021-0022

Technology based survey of various AI Chatbots. (2021). Special Issue III, 6(SpIss3).

https://doi.org/10.14233/ajomc.2021.ajomc-pp166-173

Towards Artificial Intelligence-Based Cybersecurity: The Practices and ChatGPT Generated Ways to Combat Cybercrime. (2023). Iraqi Journal for Computer Science and Mathematics, 65–70.

https://doi.org/10.52866/ijcsm.2023.01.01.0019

Ukwatta Hewage, P. N. M. (2023). Manual Corpora Development for Generative Pre-trained Transformers (GPT) & Evaluation of GPT Model Learning Capability. SSRN Electronic Journal.

https://doi.org/10.2139/ssrn.4391815

Vaishya, R., Misra, A., & Vaish, A. (2023). ChatGPT: Is this version good for healthcare and research? Diabetes & Metabolic Syndrome: Clinical Research    &                                  Reviews,    17(4), 102744.

https://doi.org/10.1016/j.dsx.2023.102744

Van den Broeck, E., Zarouali, B., & Poels, K. (2019). Chatbot advertising effectiveness: When does the message get through? Computers in Human Behavior, 98, 150–157.

https://doi.org/10.1016/j.chb.2019.04.009

Van Noorden, R. (2014). The arXiv preprint server hits 1 million articles. Nature.

https://doi.org/10.1038/nature.2014.16643

How to cite this article

Hadi, M. A., Abdulredha, M. N. and Hasan, E. (2023). Introduction to ChatGPT: A new revolution of artificial intelligence with machine learning lgorithms and cybersecurity. Science Archives, Vol. 4(4), 276-285.

https://doi.org/10.47587/SA.2023.4406

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