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Use of Artificial Intelligence in Scientific Writing
M K Khan1, J Ferdous, G Mourshed
1Dr Mohammad Kamruzzaman Khan, Associate Professor, Department of Community Medicine & Public Health, Mymensingh Medical College (MMC), Bangladesh;
Mymensingh Medical Journal : MMJ
|March 31, 2025
Summary
Artificial Intelligence (AI) enhances scientific writing by aiding literature review, text generation, and plagiarism detection. However, ethical concerns regarding over-reliance, authorship, bias, and data security require careful consideration for responsible AI integration.
Area of Science:
- Scientific Writing
- Artificial Intelligence
- Academic Publishing
Background:
- Scientific writing traditionally relies on human intellectual effort.
- Artificial Intelligence (AI) is increasingly impacting various fields, including academic publishing.
- The integration of AI presents both opportunities and challenges for researchers and publishers.
Purpose of the Study:
- To explore the evolving role of AI in scientific writing.
- To highlight the applications, benefits, and challenges of AI in this domain.
- To discuss the ethical implications of AI adoption in scientific communication.
Main Methods:
- Review of current AI applications in scientific writing.
- Analysis of AI's impact on literature scanning, text generation, and data handling.
- Examination of AI's role in plagiarism detection, peer review, and citation management.
Main Results:
- AI tools offer advantages in efficiency, speed, and quality for non-native English speakers.
- AI assists in identifying plagiarism and streamlining the peer-review process.
- AI-driven language models can improve manuscript quality and data management.
Conclusions:
- AI offers significant benefits for scientific writing, including enhanced efficiency and improved manuscript quality.
- Ethical considerations such as over-reliance, authorship, bias in AI-generated content, and data privacy must be addressed.
- Establishing guidelines for responsible AI use is crucial for maximizing benefits and mitigating risks in scientific communication.
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