Perceptions and Detection of AI Use in Manuscript Preparation for Academic Journals
November 19, 2023 Β· Declared Dead Β· π PLoS ONE
"No code URL or promise found in abstract"
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Authors
Nir Chemaya, Daniel Martin
arXiv ID
2311.14720
Category
cs.CY: Computers & Society
Cross-listed
cs.AI,
econ.GN
Citations
37
Venue
PLoS ONE
Last Checked
6 months ago
Abstract
The emergent abilities of Large Language Models (LLMs), which power tools like ChatGPT and Bard, have produced both excitement and worry about how AI will impact academic writing. In response to rising concerns about AI use, authors of academic publications may decide to voluntarily disclose any AI tools they use to revise their manuscripts, and journals and conferences could begin mandating disclosure and/or turn to using detection services, as many teachers have done with student writing in class settings. Given these looming possibilities, we investigate whether academics view it as necessary to report AI use in manuscript preparation and how detectors react to the use of AI in academic writing.
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