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SINI 2025: The Use of Gen AI in Scholarly Writing

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Carter-Templeton, Heather
Oermann, Marilyn H.
Owens, Jacqueline K.
Bailey, Hannah E.
Peterson, Gabriel M.
Mbadiwe, Joy
Quazi, Mohammed
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2025-07-17
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Abstract

Generative artificial intelligence (genAI) is reshaping scholarly communication, yet it is not an authoritative source, meaning scholarship cannot be built upon it. While genAI offers valuable tools for generating text, tables, and figures, authors must use them with integrity and transparency. Ethical concerns, including inaccuracies, fabricated content, and lack of accountability, have risen with its increased use. Unverified content in scholarly literature poses risks, particularly in healthcare, where misinformation could harm patients. As nurses explore genAI’s applications, its role in scholarly writing is likely to expand. However, they must understand its limitations and ensure that AI-generated content is supplemented by expert judgment. Scholarly work should not rely solely on AI but should integrate human expertise to maintain credibility. AI text detection is emerging as an academic tool, much like plagiarism detection. However, ensuring consistency in AI detection and preventing minor modifications from concealing AI-generated content are ongoing challenges. Additionally, policies guiding AI use in both practice and academia must be developed to ensure ethical application. Despite genAI’s growing presence, most nursing journals lack specific guidelines on its use. A recent study found that 71.71% of nursing journals (n = 185) did not mention AI in their author guidelines, and 74.42% (n = 192) lacked instructions on AI tool usage. Another study noted a rise in certain linguistic patterns since 2023, suggesting increased AI use, yet detecting AI-generated content remains difficult. AI detectors that exist have shown inconsistent results, adding to the complexity of ensuring transparency in scholarly work. Nurses, authors, reviewers, and editors will increasingly encounter genAI. While these tools hold promise, maintaining accuracy, transparency, and safeguards for evidence-based practice is crucial. We will provide guidance for nurse authors on AI use, detection tools, and journal policies regarding AI-generated content in manuscripts and scholarly writing in this session.

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Presentation delivered at the University of Maryland School of Nursing, Summer Institute in Nursing Informatics (SINI) 2025: Thriving in the Age of AI: Mastering Emerging Tech in Healthcare.
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