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Use of artificial intelligence in family medicine publications: Joint statement from journal editors
Schrager et al want to provide a unified statement about artificial intelligence (AI) in academic publishing for authors, editors, publishers, and peer reviewers based on our current understanding of the field. The technology is advancing rapidly. While text generated from early large language model...
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Published in: | Canadian family physician 2025-01, Vol.71 (1), p.10-12 |
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container_title | Canadian family physician |
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creator | Schrager, Sarina B Seehusen, Dean A Sexton, Sumi M Richardson, Caroline R Neher, Jon Pimlott, Nicholas Bowman, Marjorie A Rodriguez, José Morley, Christopher P Li, Li Dera, James Dom |
description | Schrager et al want to provide a unified statement about artificial intelligence (AI) in academic publishing for authors, editors, publishers, and peer reviewers based on our current understanding of the field. The technology is advancing rapidly. While text generated from early large language models was relatively easy to identify, text generated from new versions is getting progressively better at imitating human language and is more challenging to detect. Their goal is to develop a unified framework for managing AI in family medicine journals. As this is a rapidly evolving environment, we acknowledge that any such framework must continue to evolve. However, they also feel it is important to provide some guidance for where they are today. Guidelines on appropriate AI use exist, such as the Living Guidelines on the Responsible Use of Generative AI in Research produced by the European Commission. These guidelines include steps for researchers, organizations, and funders. |
doi_str_mv | 10.46747/cfp.710110 |
format | article |
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source | PubMed Central |
subjects | Artificial intelligence Publishing Technology adoption |
title | Use of artificial intelligence in family medicine publications: Joint statement from journal editors |
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