Sina J Torabi, Michael J Warn, Benjamin F Bitner, Yarah M Haidar, Tjoson Tjoa, Edward C Kuan
{"title":"Variability of Guidelines and Disclosures for AI-Generated Content in Top Surgical Journals.","authors":"Sina J Torabi, Michael J Warn, Benjamin F Bitner, Yarah M Haidar, Tjoson Tjoa, Edward C Kuan","doi":"10.1177/15533506241259916","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background</b>: When properly utilized, artificial intelligence generated content (AIGC) may improve virtually every aspect of research, from data gathering to synthesis. Nevertheless, when used inappropriately, the use of AIGC may lead to the dissemination of inaccurate information and introduce potential ethical concerns.<b>Research Design</b>: Cross-sectional. Study Sample: 65 top surgical journals. Data Collection: Each journals submission guidelines and portal was queried for guidelines regarding AIGC use.<b>Results</b>: We found that, in July 2023, 60% of the top 65 surgical journals had introduced guidelines for use, with more surgical journals (68%) introducing guidelines than surgical subspecialty journals (52.5%), including otolaryngology (40%). Furthermore, of the 39 with guidelines, only 69.2% gave specific use guidelines. No included journal, at the time of analysis, explicitly disallowed AIGC use.<b>Conclusions</b>: Altogether, this data suggests that while many journals have quickly reacted to AIGC usage, the quality of such guidelines is still variable. This should be pre-emptively addressed within academia.</p>","PeriodicalId":22095,"journal":{"name":"Surgical Innovation","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Surgical Innovation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/15533506241259916","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/11 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: When properly utilized, artificial intelligence generated content (AIGC) may improve virtually every aspect of research, from data gathering to synthesis. Nevertheless, when used inappropriately, the use of AIGC may lead to the dissemination of inaccurate information and introduce potential ethical concerns.Research Design: Cross-sectional. Study Sample: 65 top surgical journals. Data Collection: Each journals submission guidelines and portal was queried for guidelines regarding AIGC use.Results: We found that, in July 2023, 60% of the top 65 surgical journals had introduced guidelines for use, with more surgical journals (68%) introducing guidelines than surgical subspecialty journals (52.5%), including otolaryngology (40%). Furthermore, of the 39 with guidelines, only 69.2% gave specific use guidelines. No included journal, at the time of analysis, explicitly disallowed AIGC use.Conclusions: Altogether, this data suggests that while many journals have quickly reacted to AIGC usage, the quality of such guidelines is still variable. This should be pre-emptively addressed within academia.
期刊介绍:
Surgical Innovation (SRI) is a peer-reviewed bi-monthly journal focusing on minimally invasive surgical techniques, new instruments such as laparoscopes and endoscopes, and new technologies. SRI prepares surgeons to think and work in "the operating room of the future" through learning new techniques, understanding and adapting to new technologies, maintaining surgical competencies, and applying surgical outcomes data to their practices. This journal is a member of the Committee on Publication Ethics (COPE).