Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians
Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians
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DOI：
10.2196/15154
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发表时间：
2020-06-19
影响因子：
7.4
通讯作者：
Choudhury, Avishek
中科院分区：
文献类型：
--
作者：
Asan, Onur;Bayrak, Alparslan Emrah;Choudhury, Avishek
人工智能(AI)可以改变医疗保健实践，其将数据中的不确定性和复杂性转化为可操作的-尽管不完美-临床决策或建议的能力越来越强。在人类和人工智能之间不断演变的关系中，信任是塑造临床医生使用和采用人工智能的一种机制。信任是一种应对已知与未知之间不确定性的心理机制。几项研究强调了改进基于人工智能的系统并增强其帮助临床医生的能力的必要性。然而，评估人类信任对人工智能技术的规模和影响需要大量关注。临床医生会信任基于人工智能的系统吗？影响人类对人工智能信任的因素有哪些？对人工智能的信任能否得到优化，以改善决策过程？在本文中，我们聚焦于临床医生作为医疗保健人工智能系统的主要用户，并提出了形成临床医生与人工智能之间信任的因素。我们强调了与信任相关的关键挑战，这些挑战应该在开发任何临床使用的人工智能系统时考虑到。
Artificial intelligence (AI) can transform health care practices with its increasing ability to translate the uncertainty and complexity in data into actionable-though imperfect-clinical decisions or suggestions. In the evolving relationship between humans and AI, trust is the one mechanism that shapes clinicians' use and adoption of AI. Trust is a psychological mechanism to deal with the uncertainty between what is known and unknown. Several research studies have highlighted the need for improving AI-based systems and enhancing their capabilities to help clinicians. However, assessing the magnitude and impact of human trust on AI technology demands substantial attention. Will a clinician trust an AI-based system? What are the factors that influence human trust in AI? Can trust in AI be optimized to improve decision-making processes? In this paper, we focus on clinicians as the primary users of AI systems in health care and present factors shaping trust between clinicians and AI. We highlight critical challenges related to trust that should be considered during the development of any AI system for clinical use.