Proper Utilization of Generative AI in Scholarly Writing: The Researcher and Author Perspective

Area of Science:

• Scholarly Communication
• Artificial Intelligence Ethics
• Publishing Technology

Background:

• Generative artificial intelligence (AI) adoption is increasing in scholarly publishing.
• Existing standards for AI use and disclosure in academic writing are insufficient.
• Researchers frequently utilize AI tools for manuscript preparation tasks like writing and error correction.

Purpose of the Study:

• To assess current researcher attitudes towards AI in manuscript preparation and peer review.
• To investigate the discrepancy between reported AI use and actual disclosure in submissions.
• To highlight the need for standardized AI disclosure frameworks in scholarly communication.

Main Methods:

• Analysis of researcher surveys on AI tool usage and attitudes.
• Examination of manuscript submission data from major journal groups to assess AI disclosure rates.
• Comparison of survey estimates with observed disclosure practices.

Main Results:

• A significant proportion of researchers employ AI for manuscript writing and editing.
• Inconsistent views exist regarding acceptable AI applications in drafting and peer review.
• Observed AI disclosure rates in submissions are considerably lower than survey-reported usage, suggesting underreporting.
• Uncertainty regarding disclosure requirements may contribute to low reporting.

Conclusions:

• Standardized frameworks mandating explicit AI use disclosure are crucial.
• Implementing clear guidelines will enhance transparency and maintain trust in scholarly publishing.
• Addressing the gap between AI use and disclosure is essential for academic integrity.