从对自动化的信任到对医疗保健中的人工智能的信任:30年的纵向审查和跨学科框架
Kelvin K L Wong1,2, Yong Han3,4, Yifeng Cai5
1AI Creativity Laboratory, Academy of Fine Arts, Hunan Normal University, Changsha 410081, China.
Bioengineering (Basel, Switzerland)
|October 29, 2025
概括
对人工智能的信任已经显著发展,特别是在医疗保健领域. 本综述综合了人类-人工智能信任的研究,通过新的框架和测量方法为开发可靠的人工智能系统提供了指导.
科学领域:
- 人工智能的人工智能
- 人与计算机的交互
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 在过去的三十年里,人机信任从自动化发展到人工智能.
- 对人工智能信任的研究已经扩展到各个学科和问题空间.
- 医疗保健中的人工智能为信任带来了独特的挑战和机会.
研究的目的:
- 为医疗保健中人类-人工智能信任研究提供纵向综合.
- 引入一个跨学科的人类-人工智能信任研究 (I-HATR) 框架.
- 为不同成熟度阶段的人类-人工智能系统提供设计指导.
主要方法:
- 叙述性综述综合了理论和方法中的特定阶段变化.
- 跨学科分析将可解释的人工智能 (XAI) 与HCI/HFE结合起来.
- 人类-人工智能对医疗保健信任的核心决定因素的提炼.
主要成果:
- 确定了三个核心类别的信任决定因素:用户特征,AI属性和上下文因素.
- 总结了信任测量的演变,从自我报告到行为和心理生理学的方法.
- 强调越来越多地使用多式联运和动态评估方法.
结论:
- 强调需要弥合实际可信度和对医疗保健人工智能感知的信任.
- 概述了以人为中心的人工智能发展的关键趋势,机遇和挑战.
- 强调了共享指标,不确定性沟通和信任校准的重要性.
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