This article briefly summarizes trust as a multi-dimensional construct, and trust in AI as a unique but related construct. It argues that because trust in AI is couched within an economic landscape, these two frameworks should be combined to understand the dynamics of trust in AI as it is currently implemented. The review focuses on healthcare and law enforcement as two industries that have adopted AI in ways that do and do not engender trust from stakeholders. The framework is applied to both industries to highlight where and why varying trust in AI is observed. Then seven research questions are posed, and researchers are encouraged to test the proposed framework in other AI-reliant contexts, like education and employment.

中文翻译：

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人工智能的情感和认知信任：识别研究机会的框架


本文简要总结了信任作为一种多维结构，以及对人工智能的信任作为一种独特但相关的结构。它认为，由于对人工智能的信任是在经济格局中表达的，因此应该结合这两个框架来了解目前实施的人工智能信任的动态。此次审查的重点是医疗保健和执法这两个行业，这两个行业采用人工智能的方式是否赢得了利益相关者的信任。该框架适用于这两个行业，以强调在何处以及为何观察到对人工智能的不同信任。然后提出七个研究问题，并鼓励研究人员在其他依赖人工智能的环境（如教育和就业）中测试所提出的框架。