以用户为中心的人工智能医疗技术治理跨学科研究议程

D. Arney, M. Senges, S. Gerke, Cansu Canca, Laura Haaber Ihle, Annabel Kupke, Ashveena Gajeelee, Stephen Lynch, Luis Meléndez-Cintrón
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引用次数: 5

摘要

支持人工智能的卫生技术在改善卫生结果和临床工作流程方面具有重大前景。然而,它也给卫生数据治理和安全带来了挑战。更具体地说,涉及人工智能健康指导的应用程序(例如,人工智能介导的用户和医疗保健提供者之间的对话)引起了人们对医疗家长式作风和隐私的担忧,以及需要涵盖广泛的个人对什么是美好生活的理解。本文利用跨学科的方法,为利益相关者提出了一个研究议程,以主动协作和设计与用户合作的人工智能技术,以改善他们的健康和福祉。
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A User-Focused Transdisciplinary Research Agenda for AI-Enabled Health Tech Governance
AI-enabled health technology holds significant promise for improving health outcomes and clinical workflows. However, it also generates challenges for health data governance and security. More specifically, apps that involve AI health coaching (e.g., an AI-mediated dialogue between the user and healthcare providers) evoke concerns about medical paternalism and privacy as well as the need for encompassing a broad range of individual understandings of what constitutes a good life. Leveraging a transdisciplinary approach, this paper sets forth a research agenda for stakeholders to proactively collaborate and design AI technologies that work with users to improve their health and wellbeing.
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