The Impact of Artificial Intelligence Technologies on Improving the Quality of Scientific Writing

Authors

  • Abdulmula Lusta ليبيا

Keywords:

Generative AI, Scientific Research, Academic Ethics, Large Language Models (LLMs), Research Integrity

Abstract

This study aimed to explore the growing role of generative artificial intelligence technologies in the stages of scientific research writing. It adopted a descriptive-analytical approach based on a focused literature review of recent studies and policies relevant to the topic. The findings indicate that these tools can enhance efficiency in some early tasks, such as organizing ideas, drafting initial texts, and language editing, thereby supporting faster completion and improved writing quality. At the same time, they raise concerns related to digital hallucination, limited reliability of some outputs, and issues of disclosure and academic originality. The study concludes that the effective use of these tools depends on responsible and critical adoption, while maintaining human oversight of scientific content. It recommends the adoption of clear disclosure policies, with full scientific and ethical responsibility remaining with the human researcher.

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Published

2026-06-09

How to Cite

Lusta, A. (2026). The Impact of Artificial Intelligence Technologies on Improving the Quality of Scientific Writing . Journal of Economics and Political Sciences, 20(1), 295–320. Retrieved from https://journals.uot.edu.ly/index.php/jeps/article/view/2459

Issue

Vol. 20 No. 1 (2026): journal of economics and political science

Section

Articles

License

Copyright (c) 2026 Journal of Economics and Political Sciences

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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