“It cannot do all of my work”: Community Health Worker Perceptions of AI-Enabled Mobile Health Applications in Rural India
“It cannot do all of my work”: Community Health Worker Perceptions of AI-Enabled Mobile Health Applications in Rural India
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DOI：
10.1145/3411764.3445420
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发表时间：
2021-05
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影响因子：
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通讯作者：
Chinasa T. Okolo;Srujana Kamath;Nicola Dell;Aditya Vashistha
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作者：
Chinasa T. Okolo;Srujana Kamath;Nicola Dell;Aditya Vashistha
人工智能（AI）的最新进展表明，AI应用可以改变全球南部的医疗保健服务。然而，随着研究人员和技术公司急于开发人工智能应用程序来帮助边缘化社区的健康，考虑社区卫生工作者（CHW）的需求和看法至关重要，他们必须将这些人工智能应用程序整合到他们为农村社区提供的基本医疗服务中。我们描述了一项定性研究，检查CHW对自动疾病诊断人工智能应用程序的看法。根据对印度农村社区卫生工作者的21次访谈数据，我们描述了（1）社区卫生工作者对人工智能的知识、感知和理解;以及（2）CHW预期的好处和挑战，因为人工智能应用程序被集成到他们的工作流程中，包括他们对工作自动化的意见，可能的误诊和错误，数据访问和监视问题，安全和隐私挑战，关于信任的问题。最后，我们讨论了我们的工作对低资源环境中HCI和AI研究的影响。
Recent advances in Artificial Intelligence (AI) suggest that AI applications could transform healthcare delivery in the Global South. However, as researchers and technology companies rush to develop AI applications that aid the health of marginalized communities, it is critical to consider the needs and perceptions of the community health workers (CHWs) who will have to integrate these AI applications into the essential healthcare services they provide to rural communities. We describe a qualitative study examining CHWs’ perceptions of an AI application for automated disease diagnosis. Drawing on data from 21 interviews with CHWs in rural India, we characterize (1) CHWs’ knowledge, perceptions, and understandings of AI; and (2) the benefits and challenges that CHWs anticipate as AI applications are integrated into their workflows, including their opinions on automation of their work, possible misdiagnosis and errors, data access and surveillance issues, security and privacy challenges, and questions concerning trust. We conclude by discussing the implications of our work for HCI and AI research in low-resource environments.