在安全关键的环境中对人工智能的负责任部署进行经验性评估要求
Dane A Morey1, Michael F Rayo2, David D Woods2
1The Ohio State University, Columbus, OH, USA. morey.38@osu.edu.
NPJ digital medicine
|June 18, 2025
概括
在医疗保健中评估人工智能 (AI) 需要评估人类-AI合作,而不仅仅是AI准确性. 人工智能增强可以提高或降低护士的表现,强调在关键环境中需要严格测试.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 人与计算机的互动.
- 人工智能的人工智能是人工智能.
背景情况:
- 人工智能 (AI) 在医疗保健等安全关键领域的整合需要强大的评估框架.
- 确保在临床环境中安全,有效和负责任地部署AI是一个越来越大的挑战.
研究的目的:
- 开发和验证一种程序,以实证评估人工智能增强对识别患者紧急情况的人类表现的影响.
- 评估护士和人工智能技术的联合表现.
主要方法:
- 评估了三种人工智能增强技术,包括人工智能建议和解释.
- 这项研究涉及450名护理学生和12名执照护士,评估了10例历史患者病例.
- 我们收集了个人和人类-人工智能联合表现的绩效指标.
主要成果:
- 当算法正确时,护士的表现得到了AI的改善,但当AI误导时,护士的表现降低了.
- 人工智能增强的有效性取决于人工智能的准确性和临床病例的复杂性.
- 联合人类-人工智能系统的性能各不相同,这表明仅靠人工智能能力无法确保安全性或有效性.
结论:
- 在安全关键的环境中部署人工智能,对人类-人工智能联合表现的实证评估至关重要.
- 测试必须包括各种各样的具有挑战性的案例,以揭示AI的局限性和潜在的故障模式.
- 人工智能评估提出了两个最低要求:测量综合性能和评估不同AI准确度水平的性能.
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