Making AI’s Impact on Pathology Visible: Using Ethnographic Methods for Ethical and Epistemological Insights

Megan M. Milota, Jojanneke M. T. M. Drogt, Karin R. Jongsma
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Abstract

Abstract The field of pathology is currently undergoing fundamental changes, including the transition from analog to digital workspaces and the integration of Artificial Intelligence (AI) into digital diagnostic workflows. Discussing the ethical implications of these changes is complicated by the fact that both laypersons and medical professionals know relatively little about the ways pathologists conduct their daily work. To reveal the largely ‘invisible’ daily practices of pathology departments and better understand the ongoing processes of innovation within the field, we employed a variety of ethnographic methods: interviews, participant observations, and ethnographic filming. Approaching AI in pathology through three different angles helped us to gain rich knowledge and meaningful insights about the ways AI should impact pathologists’ and lab technicians’ roles and responsibilities. In this article, we describe the benefits and downsides of our ‘slow approach’ to data collection and invite those working on similar topics involving the complex dynamics of digital transitions to reflect on whether such methods might also benefit their research.
使人工智能对病理学的影响可见:使用民族志方法进行伦理和认识论见解
病理学领域目前正在经历根本性的变化,包括从模拟到数字工作空间的过渡以及人工智能(AI)与数字诊断工作流程的集成。讨论这些变化的伦理含义是复杂的,因为外行人和医学专业人员对病理学家进行日常工作的方式都知之甚少。为了揭示病理部门在很大程度上“不可见”的日常实践,并更好地了解该领域内正在进行的创新过程,我们采用了各种民族志方法:访谈、参与者观察和民族志拍摄。通过三个不同的角度来研究病理学中的人工智能,有助于我们获得丰富的知识和有意义的见解,了解人工智能应该如何影响病理学家和实验室技术人员的角色和责任。在本文中,我们描述了我们的“缓慢方法”在数据收集方面的好处和缺点,并邀请那些从事涉及数字转型复杂动态的类似主题的研究人员反思这些方法是否也可能有利于他们的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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