Research Article
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Year 2025, Volume: 11 Issue: 1, 1 - 10, 30.06.2025
https://doi.org/10.25233/ijlel.1550548

Abstract

References

  • Adeshola, I., & Adepoju, A. P. (2023). The opportunities and challenges of ChatGPT in education. Interactive Learning Environments, 1-14.
  • Alkaissi, H., & McFarlane, S. I. (2023). Artificial hallucinations in ChatGPT: Implications in scientific writing. Cureus, 15(2), e35179.
  • Amodei, D., Olah, C., Steinhardt, J., Christiano, P., Schulman, J., & Mané, D. (2016). Concrete problems in AI safety. arXiv preprint arXiv:1606.06565.
  • Bahrini, A., Khamoshifar, M., Abbasimehr, H., Riggs, R. J., Esmaeili, M., Majdabadkohne, R. M., & Pasehvar, M. (2023, April). ChatGPT: Applications, opportunities, and threats. In 2023 Systems and Information Engineering Design Symposium (SIEDS) (pp. 274-279). IEEE.
  • Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (pp. 610-623). https://doi.org/10.1145/3442188.3445922
  • Cornacchia, F., Diantoro, K., AlGasawneh, J. A., Azzaakiyyah, H. K., & Ausat, A. M. (2023). Navigating the ethical challenges of artificial intelligence in higher education: An analysis of global AI ethics policies. TEM Journal, 12(2), 590-602.
  • Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254-280.
  • Getchell, K. M., Carradini, S., Cardon, P. W., Fleischmann, C., Haibing Ma, J., Aritz, J., & Stapp, J. (2022). Artificial intelligence in business communication: The changing landscape of research and teaching. Business and Professional Communication Quarterly, 50(4).
  • Gluoksnytė, O., White, C., & Žitkus, M. (2024). Possible impacts on education provision of the transformative role of artificial intelligence in education: Current student and teacher perspectives. ICTIMESH.
  • Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.
  • Gunkel, D. J. (2020). Artificial intelligence: Human agency and the meaning of life. MIT Press.
  • Haque, M. A. (2022). A brief analysis of “ChatGPT”–A revolutionary tool designed by OpenAI. EAI Endorsed Transactions on AI and Robotics, 1(1), e15.
  • Lee, J., Shin, J. H., Jang, W., Kang, M. J., Kim, D. H., & Park, D. (2021). A survey of artificial intelligence applications in healthcare. Journal of Medical Internet Research, 23(8), e27729.
  • McCarthy, J., Minsky, M., Rochester, N., & Shannon, C. E. (1955). A proposal for the Dartmouth Summer Research Project on Artificial Intelligence. AI Magazine, 27(4), 12-14.
  • Nugroho, S., Sitorus, A. T., Habibi, M., Wihardjo, E., & Iswahyudi, M. S. (2023). The role of ChatGPT in improving the efficiency of business communication in management science. Jurnal Minfo Polgan, 12(1), 1482-1491.
  • Rana, M., & Bansal, J. (2023). The future of OpenAI tools: Opportunities and challenges for human-AI collaboration. In 2023 2nd International Conference on Futuristic Technologies (INCOFT) (pp. 1-6). IEEE.
  • Rivas, P., & Zhao, L. (2023). Marketing with ChatGPT: Navigating the ethical terrain of GPT-based chatbot technology. AI, 4(2), 375-384.
  • Russell, S. J., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson Education.
  • Salvagno, M., Taccone, F. S., & Gerli, A. G. (2023). Artificial intelligence hallucinations. Critical Care, 27(1), 180. Searle, J. R. (1980). Minds, brains, and programs. Behavioral and Brain Sciences, 3(3), 417-424.
  • Verma, D., Ramesh, K., & Gupta, S. (2024). Ghostbuster: Detecting text ghostwritten by large language models. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (pp. 1421–1433).
  • Verma, M. (2024). Evolution of Artificial Intelligence by Prompt Science Analysis. Evolution, 8(5).
  • Waghmare, C. (2023). Enhancing business communication with ChatGPT. In Unleashing the Power of ChatGPT: A Real-World Business Applications (pp. 79-92). Berkeley, CA: Apress.
  • Wu, T., He, S., Liu, J., Sun, S., Liu, K., Han, Q. L., & Tang, Y. (2023). A brief overview of ChatGPT: The history, status quo, and potential future development. IEEE/CAA Journal of Automatica Sinica, 10(5), 1122-1136.
  • Zhao, W. X., Zhou, K., Li, J., Tang, T., Wang, X., Hou, Y., ... & Wen, J. R. (2023). A survey of large language models. arXiv preprint arXiv:2303.18223.

ChatGPT: A Tool for Communication and Lifelong Education in the AI Age

Year 2025, Volume: 11 Issue: 1, 1 - 10, 30.06.2025
https://doi.org/10.25233/ijlel.1550548

Abstract

Abstract

The article discusses the Artificial Intelligence (AI) technologies and their transformative potential to foster innovation, increase productivity, and promote human-machine collaboration. The main objective of this research is to examine the potential advantages and disadvantages of using ChatGPT as a communication tool, especially regarding its impact in the scientific, business domains in modern society. The article investigates efficiency of AI technologies, ChatGPT in particular, putting the emphasis on productivity, content creation using certain prompts, advantages and disadvantages of the communication created using different prompts to get the best result in the field of provided content. As lifelong education becomes increasingly essential, understanding ChatGPT’s impact on communication, knowledge accessibility, and self-directed learning can help optimize its use in both formal and informal educational settings. In this sector, ChatGPT could be used for researching and writing ideas, content nuances, overall information gathering, planning and customising individual tasks. Various human written texts were randomly chosen to compare them with the robot generated texts and different engineering prompts were used to get the most similar texts to the ones provided by human. Then, feature comparison and prompts comparisons as well as overlapping concepts are presented.
As ChatGPT continues to evolve, it is essential to explore its application and ethical implications in a variety of fields, including business, education and social interaction. By understanding its opportunities and limitations, we can exploit its potential to increase communication and productivity while reducing potential risks.

References

  • Adeshola, I., & Adepoju, A. P. (2023). The opportunities and challenges of ChatGPT in education. Interactive Learning Environments, 1-14.
  • Alkaissi, H., & McFarlane, S. I. (2023). Artificial hallucinations in ChatGPT: Implications in scientific writing. Cureus, 15(2), e35179.
  • Amodei, D., Olah, C., Steinhardt, J., Christiano, P., Schulman, J., & Mané, D. (2016). Concrete problems in AI safety. arXiv preprint arXiv:1606.06565.
  • Bahrini, A., Khamoshifar, M., Abbasimehr, H., Riggs, R. J., Esmaeili, M., Majdabadkohne, R. M., & Pasehvar, M. (2023, April). ChatGPT: Applications, opportunities, and threats. In 2023 Systems and Information Engineering Design Symposium (SIEDS) (pp. 274-279). IEEE.
  • Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (pp. 610-623). https://doi.org/10.1145/3442188.3445922
  • Cornacchia, F., Diantoro, K., AlGasawneh, J. A., Azzaakiyyah, H. K., & Ausat, A. M. (2023). Navigating the ethical challenges of artificial intelligence in higher education: An analysis of global AI ethics policies. TEM Journal, 12(2), 590-602.
  • Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254-280.
  • Getchell, K. M., Carradini, S., Cardon, P. W., Fleischmann, C., Haibing Ma, J., Aritz, J., & Stapp, J. (2022). Artificial intelligence in business communication: The changing landscape of research and teaching. Business and Professional Communication Quarterly, 50(4).
  • Gluoksnytė, O., White, C., & Žitkus, M. (2024). Possible impacts on education provision of the transformative role of artificial intelligence in education: Current student and teacher perspectives. ICTIMESH.
  • Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.
  • Gunkel, D. J. (2020). Artificial intelligence: Human agency and the meaning of life. MIT Press.
  • Haque, M. A. (2022). A brief analysis of “ChatGPT”–A revolutionary tool designed by OpenAI. EAI Endorsed Transactions on AI and Robotics, 1(1), e15.
  • Lee, J., Shin, J. H., Jang, W., Kang, M. J., Kim, D. H., & Park, D. (2021). A survey of artificial intelligence applications in healthcare. Journal of Medical Internet Research, 23(8), e27729.
  • McCarthy, J., Minsky, M., Rochester, N., & Shannon, C. E. (1955). A proposal for the Dartmouth Summer Research Project on Artificial Intelligence. AI Magazine, 27(4), 12-14.
  • Nugroho, S., Sitorus, A. T., Habibi, M., Wihardjo, E., & Iswahyudi, M. S. (2023). The role of ChatGPT in improving the efficiency of business communication in management science. Jurnal Minfo Polgan, 12(1), 1482-1491.
  • Rana, M., & Bansal, J. (2023). The future of OpenAI tools: Opportunities and challenges for human-AI collaboration. In 2023 2nd International Conference on Futuristic Technologies (INCOFT) (pp. 1-6). IEEE.
  • Rivas, P., & Zhao, L. (2023). Marketing with ChatGPT: Navigating the ethical terrain of GPT-based chatbot technology. AI, 4(2), 375-384.
  • Russell, S. J., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson Education.
  • Salvagno, M., Taccone, F. S., & Gerli, A. G. (2023). Artificial intelligence hallucinations. Critical Care, 27(1), 180. Searle, J. R. (1980). Minds, brains, and programs. Behavioral and Brain Sciences, 3(3), 417-424.
  • Verma, D., Ramesh, K., & Gupta, S. (2024). Ghostbuster: Detecting text ghostwritten by large language models. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (pp. 1421–1433).
  • Verma, M. (2024). Evolution of Artificial Intelligence by Prompt Science Analysis. Evolution, 8(5).
  • Waghmare, C. (2023). Enhancing business communication with ChatGPT. In Unleashing the Power of ChatGPT: A Real-World Business Applications (pp. 79-92). Berkeley, CA: Apress.
  • Wu, T., He, S., Liu, J., Sun, S., Liu, K., Han, Q. L., & Tang, Y. (2023). A brief overview of ChatGPT: The history, status quo, and potential future development. IEEE/CAA Journal of Automatica Sinica, 10(5), 1122-1136.
  • Zhao, W. X., Zhou, K., Li, J., Tang, T., Wang, X., Hou, Y., ... & Wen, J. R. (2023). A survey of large language models. arXiv preprint arXiv:2303.18223.
There are 24 citations in total.

Details

Primary Language English
Subjects Educational Technology and Computing
Journal Section Research Article
Authors

Odeta Gluoksnyte 0000-0003-4504-9759

Early Pub Date June 4, 2025
Publication Date June 30, 2025
Submission Date September 15, 2024
Acceptance Date April 2, 2025
Published in Issue Year 2025 Volume: 11 Issue: 1

Cite

APA Gluoksnyte, O. (2025). ChatGPT: A Tool for Communication and Lifelong Education in the AI Age. International Journal on Lifelong Education and Leadership, 11(1), 1-10. https://doi.org/10.25233/ijlel.1550548