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Should We Expect Ethics from Artificial Intelligence: The Case of ChatGPT Text Generation
Melnyk Y. B. 1,2
 
1 Kharkiv Regional Public Organization “Culture of Health”, Ukraine
2 Scientific Research Institute KRPOCH, Ukraine
 

 

Abstract

Background and Aim of Study: Implementing artificial intelligence (AI) in various areas of human activity is an avalanche-like process. This situation has raised questions about the feasibility and regulation of AI use that require justification, particularly in the context of scientific research.
The aim of the study: to identify the extent to which AI-based chatbots can meet ethical standards when analysing academic publications, given their current level of development.
Material and Methods: The present study employed various theoretical methods, including analysis, synthesis, comparison, and generalisation of experimental studies and published data, to evaluate ChatGPT’s capacity to adhere to fundamental ethical principles when analysing academic publications.
Results: The present study characterised the possibilities of using AI for academic research and publication preparation. The paper analysed a case of text generation by ChatGPT and found that the information generated by the chatbot was falsified. This fact and other similar data described in publications indicate that ChatGPT has a policy to generate information on request at any cost. This completely disregards the reliability of such information, the copyright of its owners and the basic ethical standards for analysing academic publications established within the scientific community.
Conclusions: It is becoming increasingly clear that AI and the various tools based on it will evolve rapidly and have qualities more and more similar to human intelligence. We believe the main danger lies in losing control of this AI development process. The rapid development of negative qualities in AI, such as selfishness, deceitfulness and aggressiveness, which were previously thought to be unique to humans, may in the future generate in AI the idea of achieving superiority over humans. In this context, lying and violating ethical standards when analysing academic publications seem like innocent, childish pranks at the early stages of AI development. The results are important in drawing the attention of developers, scientists, and the general public to the problems of AI and developing specific standards, norms, and rules for its use in various fields

 
 
 

Keywords

artificial intelligence, Human-Artificial Intelligence System, AI-based chatbots, ethical standards, falsification of research and publications.

 
 
  

References

Melnyk, Yu. B., & Pypenko, I. S. (2024). Artificial intelligence as a factor revolutionizing higher education. International Journal of Science Annals, 7(1), 5–13. https://doi.org/10.26697/ijsa.2024.1.2 

Melnyk, Yu. B., & Pypenko, I. (2024). Ethical use of artificial intelligence technology in medical research and publications. Acta Phlebologica, 25(2), 109-10. https://doi.org/10.23736/S1593-232X.23.00607-0 

Melnyk, Yu. B., & Pypenko, I. S. (2020). How will blockchain technology change education future?! International Journal of Science Annals, 3(1), 5–6. https://doi.org/10.26697/ijsa.2020.1.1 

Melnyk, Yu. B., & Pypenko, I. S. (2023). The legitimacy of artificial intelligence and the role of ChatBots in scientific publications. International Journal of Science Annals, 6(1), 5–10. https://doi.org/10.26697/ijsa.2023.1.1 

Melnyk, Yu. B., Stadnik, A. V., Pypenko, I. S., Kostina, V. V., & Yevtushenko, D. O. (2022). Impact of COVID-19 on the Social and Psychological State of Athletes. The Journal of Sports Medicine and Physical Fitness, 62(2), 297–299. https://doi.org/10.23736/S0022-4707.21.12401-6 

Melnyk, Yu. B., Stadnik, A. V., & Pypenko, I. S. (2020). Resistance to post-traumatic stress reactions of vulnerable groups engaged in pandemic liquidation. International Journal of Science Annals, 3(1), 35–44. https://doi.org/10.26697/ijsa.2020.1.5 

Pypenko, I. S. (2024). Benefits and challenges of using artificial intelligence by stakeholders in higher education. International Journal of Science Annals, 7(2), 1–9. https://doi.org/10.26697/ijsa.2024.2.7 

Pypenko, I. S. (2023). Human and artificial intelligence interaction. International Journal of Science Annals, 6(2), 54–56. https://doi.org/10.26697/ijsa.2023.2.7 

Pypenko, I. S., Maslov, Yu. V., & Melnyk, Yu. B. (2020). The impact of social distancing measures on higher education stakeholders. International Journal of Science Annals, 3(2), 9–14. https://doi.org/10.26697/ijsa.2020.2.2 

Pypenko, I. S., & Melnyk, Yu. B. (2020). Creating a business ecosystem based on blockchain technology. International Journal of Education and Science, 3(4), 53. https://doi.org/10.26697/ijes.2020.4.26 

 

 

 

  
 

 

Information about the authors:

Melnyk Yuriy Borysovychhttps://orcid.org/0000-0002-8527-4638; Doctor of Philosophy in Pedagogy, Affiliated Associate Professor; Chairman of Board, Kharkiv Regional Public Organization “Culture of Health” (KRPOCH); Director, Scientific Research Institute KRPOCH, Ukraine.

 
 
 
Cite this article as:

APA


Melnyk, Y. B.  (2025). Should we expect ethics from artificial intelligence: The case of ChatGPT text generation. International Journal of Science Annals, 8(1), 5–10. https://doi.org/10.26697/ijsa.2025.1.5 

Harvard


Melnyk, Y. B. "Should we expect ethics from artificial intelligence: The case of ChatGPT text generation." International Journal of Science Annals, [online] 8(1), pp. 5–10. viewed 30 June 2025, https://culturehealth.org/ijsa_archive/ijsa.2025.1.5.pdf

Vancouver


Melnyk Y. B. Should we expect ethics from artificial intelligence: The case of ChatGPT text generation. International Journal of Science Annals [Internet]. 2025 [cited 30 June 2025]; 8(1): 5–10. Available from: https://culturehealth.org/ijsa_archive/ijsa.2025.1.5.pdf https://doi.org/10.26697/ijsa.2025.1.5

  © 2018 – 2025 International Journal of Science Annals
DOI: https://doi.org/10.26697/ijsa