人工智能研究人员在伦理实施中的知识,态度和实践尺度的开发,可靠性和结构有效性:跨部门研究
Xiaobo Zhang1, Ying Gu1, Jie Yin2
1Children's Hospital of Fudan University, Shanghai, China.
JMIR formative research
|October 26, 2023
概括
这项研究为医学人工智能 (AI) 研究人员开发了第一个道德实施知识态度实践 (KAP-EI) 规模. 验证的尺度有效地衡量研究人员的伦理知识,态度和实践,确保负责任的AI开发.
科学领域:
- 医疗人工智能 医疗人工智能
- 生物伦理学生物伦理学
- 研究方法研究方法研究方法学
背景情况:
- 医疗人工智能对于医疗保健决策支持至关重要,需要道德考虑.
- 在医学AI中实施伦理要求研究人员的知识,态度和实践.
- 缺乏一个验证的仪器来测量医疗AI研究人员的这些伦理方面.
研究的目的:
- 开发一个全面的规模来评估医学AI研究人员的知识,态度和伦理实践的实施.
- 为了评估开发的尺度的测量特性.
主要方法:
- 在伦理实施中的知识-态度-实践 (KAP-EI) 尺度是基于KAP模型开发的.
- 规模开发涉及系统的文献审查,定性访谈和项目分析.
- 测量属性使用遵循COSMIN指南的横截面研究来评估.
主要成果:
- 卡普 - 伊尺度包括三个维度:知识 (10项),态度 (6项) 和实践 (7项).
- 该尺度显示出高可靠性 (克朗巴赫的α = .934).
- 确认因素分析证实了具有良好匹配指数的令人满意的结构有效性.
结论:
- 该KAP-EI尺度是可靠和结构有效的仪器,用于测量医疗AI研究人员的伦理知识,态度和实践.
- 这是第一个专门为此目的而设计的仪器.
- 该规模可以促进在医疗人工智能研究和开发中有效实施伦理.
关键词:
知识 - 态度 - 实践模型人工智能的人工智能是人工智能.我们的态度 态度 态度 态度 态度发展发展发展发展发展.伦理学 伦理 伦理学实行道德的实施方法测量 测量 测量 测量 测量医疗人工智能的人工智能可靠性的可靠性的有效性有效性.更多相关视频
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