mlsanityData to 7 Oct 2026

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

arXiv 2311.14720 ↗First posted 19 Nov 2023cs.CY cs.AI econ.GNcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 9 of its 50 references that are in the map. First posted on arXiv 19 Nov 2023.

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9 of 50 references.

References · 9

  1. 2021On the Opportunities and Risks of Foundation Modelscited by 3,961
  2. 2019Machine Learning Methods Economists Should Know Aboutcited by 63
  3. 2022Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learningcited by 53
  4. 2020Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learningcited by 17
  5. 2023Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitationscited by 16
  6. 2023Detecting disparities in police deployments using dashcam datacited by 10
  7. 2023An Empirical Study of AI Generated Text Detection Toolscited by 9
  8. 2019Assessment of Faster R-CNN in Man-Machine collaborative searchcited by 5
  9. 2022(Machine) Learning What Policies Valuecited by 3

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