Generative Artificial Intelligence Detectors and Accuracy: Implications for Nurses

Author Affiliations: Dwight Schar College of Nursing and Health Sciences, Ashland University, Ohio (Drs Hostetler and Owens); Duke University School of Nursing, Durham, NC (Drs Waldrop and Oermann); West Virginia University, Morgantown (Dr Carter-Templeton).

Theda (Jody) Hostetler https://orcid.org/0009-0008-0476-9788

Jacqueline K. Owens https://orcid.org/0000-0003-1886-394X

Julee Waldrop https://orcid.org/0000-0003-4827-7992

Marilyn H. Oermann https://orcid.org/0000-0002-4534-8962

Heather Carter-Templeton https://orcid.org/0000-0002-8086-2094

Editor-in-Chief, OJIN: The Online Journal of Issues in Nursing

Editor-in-Chief, The Journal for Nurse Practitioners

Editor-in-Chief, Nurse Educator

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

The authors have disclosed that they have no significant relationships with, or financial interest in, any commercial companies pertaining to this article.

Corresponding author: Theda (Jody) Hostetler, DNP, MEd, RN, Assistant Professor of Nursing, Dwight Schar College of Nursing and Health Sciences, Ashland University, 172 Mansfield Campus, Mansfield, OH 44906 ([email protected]).

Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s Web site (www.cinjournal.com).

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