Artificial Intelligence's Development and Challenges in Scientific Writing | ||||
| Egyptian Journal of Agricultural Research | ||||
| Article 1, Volume 101, Issue 3, September 2023, Page 714-717 PDF (335.21 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ejar.2023.220363.1414 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Kamel A. Abd-Elsalam   ; Salah M. Abdel-Momen
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| Plant Pathology Research Institute, Agricultural Research Center, Giza, Egypt | ||||
| Abstract | ||||
| By helping researchers organize their thoughts and provide data-driven outcomes, AI has the potential to change scientific writing. AI-powered technologies have been created by businesses like Semantic Scholar and Paper Digest to scan scientific texts and extract pertinent data. By expediting the publishing process and enabling academics to concentrate more on their own work, AI-based writing tools like GPT-3 can produce high-quality papers that closely resemble those of well-known authors. Scientific writing is advancing significantly thanks to AI, which is also giving researchers useful tools and support. These tools can help with idea organization, creating rough drafts, and enhancing the general caliber of scientific work. For instance, ChatGPT is a useful tool in research and publishing since it may help scientists with material arrangement, draft generation, and proofreading. The drawbacks of AI must be understood, as well as the difficulties posed by prejudice, ethical issues, and the requirement for human innovation. We can improve the scientific writing process and increase scientific research by utilizing AI's potential while adding human knowledge. But there is still room for development, and it is essential to guarantee openness, morality, and reliability in AI-driven technology for academic study. | ||||
| Keywords | ||||
| AI; research automation; challenges; scientific writing; human-AI collaboration | ||||
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