{"title":"Influences of Digital Literacy and Moral Sensitivity on Artificial Intelligence Ethics Awareness Among Nursing Students.","authors":"Yaki Yang","doi":"10.3390/healthcare12212172","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>As artificial intelligence technology has developed, research on the application of AI in the medical field has increased, and there is a high likelihood that the use of AI technology will expand in nursing education and practice in the future. However, ethical issues arise when utilizing AI, necessitating a high level of ethical awareness before its application.</p><p><strong>Objectives: </strong>This study aimed to identify factors in artificial intelligence ethics awareness among nursing students.</p><p><strong>Methods: </strong>Participants were 140 nursing students attending universities in G City and J Province in South Korea. Data were collected using a self-administered questionnaire from 26 August to 6 September 2024. Factors in artificial intelligence ethics awareness were analyzed by multiple regression analysis.</p><p><strong>Results: </strong>Nursing students' artificial intelligence ethics awareness is significantly correlated with digital literacy (r = 0.30, <i>p</i> < 0.001) and moral sensitivity (r = 27, <i>p</i> < 0.001). The influencing factor in artificial intelligence ethics awareness among nursing students was moral sensitivity (β = 0.23, <i>p</i> = 0.042). The explanation power of these variables was 14.0% (F = 46.78, <i>p</i> < 0.001).</p><p><strong>Conclusions: </strong>There is a need to provide education and training programs that can improve moral sensitivity to foster artificial intelligence ethics awareness.</p>","PeriodicalId":12977,"journal":{"name":"Healthcare","volume":"12 21","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11545396/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Healthcare","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/healthcare12212172","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: As artificial intelligence technology has developed, research on the application of AI in the medical field has increased, and there is a high likelihood that the use of AI technology will expand in nursing education and practice in the future. However, ethical issues arise when utilizing AI, necessitating a high level of ethical awareness before its application.
Objectives: This study aimed to identify factors in artificial intelligence ethics awareness among nursing students.
Methods: Participants were 140 nursing students attending universities in G City and J Province in South Korea. Data were collected using a self-administered questionnaire from 26 August to 6 September 2024. Factors in artificial intelligence ethics awareness were analyzed by multiple regression analysis.
Results: Nursing students' artificial intelligence ethics awareness is significantly correlated with digital literacy (r = 0.30, p < 0.001) and moral sensitivity (r = 27, p < 0.001). The influencing factor in artificial intelligence ethics awareness among nursing students was moral sensitivity (β = 0.23, p = 0.042). The explanation power of these variables was 14.0% (F = 46.78, p < 0.001).
Conclusions: There is a need to provide education and training programs that can improve moral sensitivity to foster artificial intelligence ethics awareness.
期刊介绍:
Healthcare (ISSN 2227-9032) is an international, peer-reviewed, open access journal (free for readers), which publishes original theoretical and empirical work in the interdisciplinary area of all aspects of medicine and health care research. Healthcare publishes Original Research Articles, Reviews, Case Reports, Research Notes and Short Communications. We encourage researchers to publish their experimental and theoretical results in as much detail as possible. For theoretical papers, full details of proofs must be provided so that the results can be checked; for experimental papers, full experimental details must be provided so that the results can be reproduced. Additionally, electronic files or software regarding the full details of the calculations, experimental procedure, etc., can be deposited along with the publication as “Supplementary Material”.