Investigation of the Relationship Between Artificial Intelligence Readiness and Artificial Intelligence Anxiety Levels in Nursing Students; [Hemşirelik Öğrencilerinde Yapay Zeka Hazırbulunuşluk ve Yapay Zeka Kaygı Düzeyleri Arasındaki İlişkinin İncelenmesi]

Background: Artificial intelligence and robot technologies in the field of health and nursing practices are a new concept and it is known to have a high potential. For this reason, it is important for nursing students to be prepared for artificial intelligence and not to have problems in their education. In our study, it was aimed to examine the relationship between artificial intelligence readiness and artificial intelligence anxiety levels in nursing students. Methods: This study was descriptive-correlational in nature and was carried out with 176 students between May-June 2024 with a face-to-face questionnaire. “Demographic data Collection Form”, “Artificial Intelligence (AI) Anxiety Scale” and “Medical Artificial Intelligence (MAI) Readiness Scale” were used in the study. Descriptive statistical methods (frequency, mean, percentage analyses), Pearson correlation and linear regression analyses were used in data analysis. Results: 69.3% of the participants were female and 30.7% were male, and the AI anxiety score of female students (45.336 ± 13.747) was higher than that of male students (38.019 ± 16.203). This difference was statistically significant (t = 3.079, p = .002). According to the regression analysis results, medical AI readiness significantly and negatively affects AI anxiety (β = -.150, p .05). This finding indicates that asMAI readiness increases, AI anxiety decreases. Conclusion: In our study, artificial intelligence anxiety and artificial intelligence readiness levels of nursing students were found to be moderate. Nursing undergraduate education curriculum should be updated and courses such as technology/ artificial intelligence in health should be added to the curriculum; students should be informed about the use, positive aspects and advantages of artificial intelligence and their concerns about this issue should be eliminated.