Using Artificial Intelligence for Scholarly Writing

Area of Science:

• Scholarly Communication
• Artificial Intelligence in Research
• Medical Writing

Background:

• Generative artificial intelligence (genAI) tools are increasingly accessible, impacting scholarly communication.
• Authors using genAI face new responsibilities regarding integrity and transparency.
• Concerns include ethical issues, inaccurate content, and lack of accountability.

Purpose of the Study:

• To provide an overview of research on genAI in scholarly writing.
• To offer guidelines for nurse authors on the appropriate use of AI in manuscript preparation.
• To address key issues such as authorship, accuracy, bias, plagiarism, and disclosure.

Main Methods:

• Review of recent research findings on genAI in scholarly writing.
• Development of guidelines for clinicians, educators, and nurse authors.
• Analysis of ethical considerations and best practices for AI integration.

Main Results:

• GenAI tools can assist in creating text, tables, and figures.
• Essential to maintain authorial judgment and subject matter expertise.
• Potential risks include ethical breaches, inaccurate or biased content, and plagiarism.

Conclusions:

• Nurse authors must critically evaluate and integrate AI-generated content with their expertise.
• Transparency and disclosure of AI tool usage are crucial.
• Adherence to guidelines ensures the integrity and credibility of scholarly communication.