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Best Practices for Using AI Tools as an Author, Peer Reviewer, or Editor.

Tiffany I LeungTaiane De Azevedo CardosoAmaryllis MavraganiGunther Eysenbach
Published in: Journal of medical Internet research (2023)
The ethics of generative artificial intelligence (AI) use in scientific manuscript content creation has become a serious matter of concern in the scientific publishing community. Generative AI has computationally become capable of elaborating research questions; refining programming code; generating text in scientific language; and generating images, graphics, or figures. However, this technology should be used with caution. In this editorial, we outline the current state of editorial policies on generative AI or chatbot use in authorship, peer review, and editorial processing of scientific and scholarly manuscripts. Additionally, we provide JMIR Publications' editorial policies on these issues. We further detail JMIR Publications' approach to the applications of AI in the editorial process for manuscripts in review in a JMIR Publications journal.
Keyphrases
  • artificial intelligence
  • big data
  • deep learning
  • machine learning
  • public health
  • healthcare
  • primary care
  • convolutional neural network
  • mental health
  • autism spectrum disorder
  • optical coherence tomography