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Nursing Educators’ Perceptions of AI in Research: Risks and Benefits
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2
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2026
Jahr
Abstract
Background: The application of AI in nursing research is increasing, enhancing objectivity and productivity while raising concerns about liability and scientific integrity. Aim: To explore predictors and differences in nursing educators' perceptions of the risks and benefits of using AI in nursing research. Methods: A cross-sectional study surveyed 311 nursing educators from various universities. Results: = 0.001). Conclusions: Educators recognize both risks and benefits of AI in nursing research. Tailored training and institutional support are essential for responsible adoption. Tackling these issues can pave the way for nursing research to flourish in a rapidly changing digital world. Nursing educators need the tools they need to critically interact with AI in research. Reporting Method: The authors of this manuscript have adhered to the STrengthening the Reporting of OBservational Studies in Epidemiology (STROBE) checklist, which was used to guide the study. Patient or Public Contribution: There was no patient or public contribution, as the sample included nursing educators from two governmental universities and one private university.
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