Sengul Tuba, Bilgic Sebnem, Macit Buse, Sevim Fatma, Alik Sebnem, Kirkland-Kyhn Holly
Koç University School of Nursing, Istanbul, Türkiye.
Trakya University Faculty of Health Sciences, Department of Nursing, Edirne, Türkiye.
Nurse Educ Pract. 2025 Jul;86:104432. doi: 10.1016/j.nepr.2025.104432. Epub 2025 Jun 18.
This study examines nursing students' attitudes toward artificial intelligence (AI) and their association with biases in ethical decision-making processes.
AI technologies are central to healthcare, particularly clinical decision support systems and simulations. While AI accelerates decision-making processes, it also brings ethical responsibilities.
This is a descriptive cross-sectional study.
265 nursing students were selected through stratified sampling from two universities in Turkey. Data were collected via an online survey using a demographic information form, the AI Attitude Scale (GAAIS) and the Ethical Decision-Making Bias Scale (EDBS).
Most participants were female (n = 223), with an average age of 20.45 (SD 1.67) years. The results of the GAAIS revealed that students generally had a positive attitude (3.38 SD 0.47). However, 36.2 % expressed distrust toward AI students who trusted AI more successfully to solve ethical issues and used AI tools more effectively. The average score on the EDBS was 2.48 SD 0.41. Additionally, students who encountered ethical decisions more frequently (2.30 SD 0.32) showed lower bias levels than those who experienced them less often (2.50SD0.44). Positive attitudes toward AI were positively associated with students' confidence in ethical decision-making (p < 0.05). Distrust in AI and difficulty accessing accurate information were identified as significant barriers.
Attitudes toward AI significantly influence students' biases in ethical decision-making processes. The nursing curriculum should include AI ethics, critical thinking and decision-making skills. Integrating ethical decision-making in AI usage within nursing education can ensure that future nurses can provide patient-centered care while maintaining ethical values.
本研究考察护理专业学生对人工智能（AI）的态度及其与道德决策过程中偏见的关联。
人工智能技术是医疗保健的核心，尤其是临床决策支持系统和模拟。虽然人工智能加速了决策过程，但它也带来了道德责任。
这是一项描述性横断面研究。
通过分层抽样从土耳其的两所大学选取了265名护理专业学生。通过在线调查，使用人口统计学信息表、人工智能态度量表（GAAIS）和道德决策偏见量表（EDBS）收集数据。
大多数参与者为女性（n = 223），平均年龄为20.45岁（标准差1.67）。GAAIS的结果显示，学生总体上持积极态度（3.38，标准差0.47）。然而，36.2%的学生对人工智能表示不信任，而那些更成功地信任人工智能来解决道德问题并更有效地使用人工智能工具的学生则不然。EDBS的平均得分为2.48（标准差0.41）。此外，更频繁遇到道德决策的学生（2.30，标准差0.32）的偏见水平低于那些较少遇到道德决策的学生（2.50，标准差0.44）。对人工智能的积极态度与学生在道德决策方面的信心呈正相关（p < 0.05）。对人工智能的不信任和获取准确信息的困难被确定为重大障碍。
对人工智能的态度显著影响学生在道德决策过程中的偏见。护理课程应包括人工智能伦理、批判性思维和决策技能。将人工智能使用中的道德决策纳入护理教育可以确保未来的护士在保持道德价值观的同时提供以患者为中心的护理。
