在护理中推进人工智能数据伦理:护理实践,研究和教育的未来方向
Patricia A Ball Dunlap1,2, Martin Michalowski1
1School of Nursing, University of Minnesota, 5-140 Weaver-Densford Hall, 308 Harvard Street SE, Minneapolis, MN, 55455, United States, 16126245959.
JMIR nursing
|October 25, 2024
概括
伦理的人工智能 (AI) 需要在数据收集,处理和使用中优先考虑数据伦理. 护士在确保负责任的AI开发和机器学习应用程序的高质量数据方面发挥着关键作用.
科学领域:
- * 计算机科学 计算机科学
- * 伦理学 伦理学
- * 护理服务 * 护理服务
背景情况:
- * 人工智能 (AI) 越来越多地承认道德问题,包括偏见,不透明,信任,安全和公平.
- *机器学习 (ML) 算法是人工智能的核心,需要道德健全的系统.
- * 数据对人工智能至关重要,强调需要道德数据收集,处理和使用.
研究的目的:
- * 探索负责的人工智能开发的数据伦理原则.
- * 检查以数据为中心的AI范式及其对数据质量的关注.
- * 解决人工智能和数据伦理方面的护士的伦理问题.
主要方法:
- *正式的文献审查,以确定相关的数据伦理框架和策略.
- * 对AI/ML中现实世界和合成数据适用的原则的检查.
- *分析特定于护理实践,研究和教育的伦理考虑.
主要成果:
- *数据伦理原则对于负责任的AI和ML至关重要.
- *以数据为中心的AI范式强调了数据质量和以人为中心的专业知识的重要性.
- * 介绍了人工智能护士的具体伦理考虑和案例研究.
结论:
- *护士应该积极参与人工智能和数据伦理.
- *这种参与对于开发高质量,与机器学习应用相关的数据至关重要.
- * 为护理实践,研究和教育提供建议,以促进道德AI整合.
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