TY - JOUR
T1 - Artificial Intelligence and Human Trust in Healthcare
T2 - Focus on Clinicians
AU - Asan, Onur
AU - Bayrak, Alparslan Emrah
AU - Choudhury, Avishek
N1 - Publisher Copyright:
© 2020 Journal of Medical Internet Research. All rights reserved.
PY - 2020/6
Y1 - 2020/6
N2 - 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.
AB - 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.
KW - Bias
KW - FDA policy
KW - Health care
KW - Human-AI collaboration
KW - Technology adoption
KW - Trust
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U2 - 10.2196/15154
DO - 10.2196/15154
M3 - Review article
C2 - 32558657
AN - SCOPUS:85086727009
VL - 22
JO - Journal of Medical Internet Research
JF - Journal of Medical Internet Research
IS - 6
M1 - e15154
ER -