人工智能介导的医疗保健和信任。实证研究的信任建构与信任因素框架

IF 13.9 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Marcos Alonso, Aníbal M. Astobiza, Ramón Ortega Lozano
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引用次数: 0

摘要

人工智能(AI)在医疗保健领域的应用正呈指数级增长,预计未来几年其应用将继续扩大。然而,对人工智能系统缺乏信任仍然是其广泛采用的一个重大障碍。本文分析了信任问题、各种特征及其在人工智能医疗中的应用。我们首先回顾关于信任和技术信任的文献,以发现哪些理论结构对信任至关重要。然后,我们确定了我们认为对人工智能介导的医疗保健中信任的丰富而复杂的理解至关重要的因素。我们最后提出了一个信任因素框架,可用于人工智能介导的医疗保健及其实际实施的实证研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI-mediated healthcare and trust. A trust-construct and trust-factor framework for empirical research

Application of Artificial Intelligence (AI) in healthcare is growing exponentially, and its use is expected to continue expanding in the coming years. However, lack of trust in AI systems remains a significant barrier to their widespread adoption. This article analyzes the problem of trust, its various features and its application in AI-mediated healthcare. We first review the literature on trust and trust in technology to detect which theoretical constructs are essential to trust. We then identify the factors that we consider fundamental for a rich and complex comprehension of trust in AI-mediated healthcare. We finally propose a trust-factor framework that could be used for empirical research on AI-mediated healthcare and its practical implementation.

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来源期刊
Artificial Intelligence Review
Artificial Intelligence Review 工程技术-计算机:人工智能
CiteScore
22.00
自引率
3.30%
发文量
194
审稿时长
5.3 months
期刊介绍: Artificial Intelligence Review, a fully open access journal, publishes cutting-edge research in artificial intelligence and cognitive science. It features critical evaluations of applications, techniques, and algorithms, providing a platform for both researchers and application developers. The journal includes refereed survey and tutorial articles, along with reviews and commentary on significant developments in the field.
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