护士教育中的道德决策和人工智能:综合性审查
Tuba Sengul1, Seda Sariköse1, Asiye Gul2
1Koç University School of Nursing, Istanbul, Türkiye.
Nursing ethics
|August 27, 2025
概括
人工智能在护士教育中提供了好处,但也带来了道德挑战. 负责任的整合需要明确的道德框架,教育工作者培训,并解决接入差异,以维护正义和诚信.
科学领域:
- 护士教育
- 人工智能道德
- 医疗技术整合
背景情况:
- 人工智能 (AI) 越来越多地融入医疗保健和护理教育.
- 越来越多的人工智能使用需要解决道德问题,以保持正义和诚信等核心原则.
- 对于在临床和教育环境中负责任地采用人工智能,道德考虑至关重要.
研究的目的:
- 探索人工智能在护理教育中的道德挑战,风险和未来前景.
- 研究人工智能对护理教育中的道德决策过程的影响.
- 确定人工智能在护理教育中的道德实施障碍并提出战略.
主要方法:
- 综合性审查方法分析了2014年至2024年的15项同行评审研究.
- 通过主要科学数据库 (PubMed,Scopus,科学网等) 进行的搜索. ) 的情况.
- 数据分析使用恒定比较分析,以Rest的道德行为四元模型为指导.
主要成果:
- 道德敏感性:解决道德/心理社会影响,数据隐私,公平性和文化敏感性.
- 道德判断:涵盖了人工智能的准确性,偏见,学术完整性和道德推理.
- 道德动机和性格:强调过度依赖,需要框架,教育者的角色和研究优先事项.
结论:
- 人工智能在护理教育中带来了变革性机遇和重大道德挑战.
- 负责任的人工智能整合需要在护理课程中制定明确的道德框架.
- 装备教师和解决接入差异对于在护理教育中道德性地使用人工智能至关重要.
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