Perceptions and Detection of AI Use in Manuscript Preparation for Academic Journals
This research tackles the problem of ensuring transparency and integrity in academic publishing as AI tools become more prevalent, which is crucial for journals, conferences, and researchers.
The study investigated academics' perceptions on reporting AI use in manuscript preparation and evaluated how AI detectors respond to AI-assisted academic writing, addressing concerns about AI's impact on academic integrity.
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.