人工智能驱动的健康研究治理：伦理审查委员会能胜任这项任务吗？
Governing AI-Driven Health Research: Are IRBs Up to the Task?
机构信息
Assistant professor in the Biomedical Ethics Unit and the Department of Social Studies of Medicine at McGill University.
Associate professor of anthropological approaches to data and infrastructure, the head of the Technologies in Practice research group, and the codirector of the ETHOS Lab at the IT University of Copenhagen.
出版信息
Ethics Hum Res. 2021 Mar;43(2):35-42. doi: 10.1002/eahr.500085.
Many are calling for concrete mechanisms of oversight for health research involving artificial intelligence (AI). In response, institutional review boards (IRBs) are being turned to as a familiar model of governance. Here, we examine the IRB model as a form of ethics oversight for health research that uses AI. We consider the model's origins, analyze the challenges IRBs are facing in the contexts of both industry and academia, and offer concrete recommendations for how these committees might be adapted in order to provide an effective mechanism of oversight for health-related AI research.
许多人呼吁为涉及人工智能 (AI) 的健康研究建立具体的监督机制。为此，机构审查委员会 (IRB) 作为一种熟悉的治理模式被提出来。在这里，我们研究了 IRB 模型作为使用 AI 的健康研究伦理监督的一种形式。我们考虑了该模型的起源，分析了 IRB 在工业界和学术界背景下面临的挑战，并就如何调整这些委员会提出了具体建议，以便为与健康相关的 AI 研究提供有效的监督机制。
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