Perceptions and Detection of AI Use in Manuscript Preparation for Academic Journals

• URL: http://arxiv.org/abs/2311.14720v2
• Date: Tue, 30 Jan 2024 05:11:59 GMT
• Title: Perceptions and Detection of AI Use in Manuscript Preparation for Academic Journals
• Authors: Nir Chemaya and Daniel Martin
• Abstract summary: Large Language Models (LLMs) have produced both excitement and worry about how AI will impact academic writing. Authors of academic publications may decide to voluntarily disclose any AI tools they use to revise their manuscripts. journals and conferences could begin mandating disclosure and/or turn to using detection services.
• Score: 1.881901067333374
• License: http://creativecommons.org/licenses/by/4.0/
• 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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