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Human Dignity and Scientific Integrity: Using Artificial Intelligence in Scholarly Writing.
1University of Mississippi School of Pharmacy, Jackson, Mississippi, USA.
Summary
Artificial intelligence (AI) in scholarly writing poses risks. Journals outline expectations for authors and reviewers to ensure integrity and responsible AI use in research publication.
Area of Science:
- Scholarly communication
- Research integrity
- Artificial intelligence applications
Background:
- The rapid integration of artificial intelligence (AI) into scholarly writing presents novel challenges.
- Understanding the potential adverse effects of AI tools on academic integrity is crucial.
- Journals are developing guidelines to address AI use in manuscript preparation and peer review.
Purpose of the Study:
- To elucidate the potential adverse effects associated with the use of artificial intelligence in scholarly writing.
- To define and communicate journal expectations for authors and reviewers regarding AI-generated content.
- To promote ethical standards and transparency in academic publishing amidst AI advancements.
Main Methods:
- Infographic presentation of key issues.
- Synthesis of current trends in AI adoption for academic writing.
- Review of emerging journal policies on AI authorship and contribution.
Main Results:
- Identified risks include plagiarism, lack of originality, and potential biases introduced by AI.
- Outlined journal expectations for disclosure of AI use by authors.
- Stipulated reviewer responsibilities in identifying and addressing AI-generated text.
Conclusions:
- Responsible AI integration requires clear guidelines and author accountability.
- Journals must adapt policies to maintain the credibility of scholarly literature.
- Proactive measures are necessary to mitigate risks and uphold ethical publishing practices.
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