{"title":"The Need for Prospective Integrity Standards for the Use of Generative AI in Research.","authors":"Kayte Spector-Bagdady","doi":"10.1017/jme.2025.41","DOIUrl":null,"url":null,"abstract":"<p><p>The federal government has a long history of trying to find the right balance in supporting scientific and medical research while protecting the public and other researchers from potential harms. To date, this balance has been generally calibrated differently across contexts - including in clinical care, human subjects research, and research integrity. New challenges continue to face this disparate model of regulation, including novel Generative Artificial Intelligence (GenAI) tools. Because of potential increases in unintentional fabrication, falsification, and plagiarism using GenAI - and challenges establishing both these errors and intentionality in retrospect - this article argues that we should instead move toward a system that sets accepted community standards for the use of GenAI in research as prospective requirements.</p>","PeriodicalId":50165,"journal":{"name":"Journal of Law Medicine & Ethics","volume":" ","pages":"1-6"},"PeriodicalIF":1.6000,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Law Medicine & Ethics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1017/jme.2025.41","RegionNum":4,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ETHICS","Score":null,"Total":0}
引用次数: 0
Abstract
The federal government has a long history of trying to find the right balance in supporting scientific and medical research while protecting the public and other researchers from potential harms. To date, this balance has been generally calibrated differently across contexts - including in clinical care, human subjects research, and research integrity. New challenges continue to face this disparate model of regulation, including novel Generative Artificial Intelligence (GenAI) tools. Because of potential increases in unintentional fabrication, falsification, and plagiarism using GenAI - and challenges establishing both these errors and intentionality in retrospect - this article argues that we should instead move toward a system that sets accepted community standards for the use of GenAI in research as prospective requirements.
期刊介绍：
Material published in The Journal of Law, Medicine & Ethics (JLME) contributes to the educational mission of The American Society of Law, Medicine & Ethics, covering public health, health disparities, patient safety and quality of care, and biomedical science and research. It provides articles on such timely topics as health care quality and access, managed care, pain relief, genetics, child/maternal health, reproductive health, informed consent, assisted dying, ethics committees, HIV/AIDS, and public health. Symposium issues review significant policy developments, health law court decisions, and books.
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