Academics Divided on AI for Research Writing
A recent Nature survey of over 5,000 researchers worldwide reveals a divided stance on the ethical use of generative AI in scientific writing and peer review. While a majority find it acceptable to use AI for editing or translating manuscripts, opinions diverge when it comes to drafting content or conducting peer reviews.
Key Findings:
-
Editing and Translation: More than 90% of respondents consider using AI tools for editing or translating research papers ethically acceptable.
-
Drafting Content: Approximately 65% believe it's acceptable to use AI to generate text for papers, but about one-third oppose this practice. Notably, only around 8% have actually used AI for writing drafts, summaries, or translations.
-
Disclosure Practices: Among those who have used AI, many did not disclose its use, highlighting a gap between ethical considerations and actual practices.
-
Peer Review: Using AI to draft peer-review reports is largely deemed inappropriate, with over 60% disapproval. However, 57% find it acceptable to use AI for assistance during the review process.
-
Demographic Insights: Younger researchers and those from non-English-speaking countries are more inclined to use AI tools, particularly for editing purposes.
The survey underscores the need for clearer guidelines and consensus on AI's role in scientific research and publishing. While AI offers potential benefits, concerns about plagiarism, accountability, and the integrity of the scientific process persist
Source:
Comments
Post a Comment