医疗保健人工智能、可解释性与人机关系：一个（并非那么）新颖的实际挑战。
Healthcare AI, explainability, and the human-machine relationship: a (not so) novel practical challenge.
作者信息
Giorgetti Claudia, Contissa Giuseppe, Basile Giuseppe
机构信息
CIRSFID, Department of Legal Studies, University of Bologna, Bologna, Italy.
Department of Biomedical Science and Public Health, University "Politecnica delle Marche" of Ancona, Ancona, Italy.
出版信息
Front Med (Lausanne). 2025 Feb 28;12:1545409. doi: 10.3389/fmed.2025.1545409. eCollection 2025.
This paper focuses on the lack of explainability that afflicts machine-learning-based AI systems applied in the field of healthcare. After a brief introduction to the topic, from both a technical and legal point of view, this work aims to assess the main consequences that the lack of explainability has on the human-machine relationship in clinical care, through a practical perspective. It then questions whether explainability is truly an objective worth seeking and, if so, to what extent, taking into account the current possible solutions.
本文聚焦于应用于医疗保健领域的基于机器学习的人工智能系统所面临的缺乏可解释性的问题。在从技术和法律角度对该主题进行简要介绍之后，这项工作旨在从实际角度评估缺乏可解释性对临床护理中人机关系的主要影响。然后探讨可解释性是否真的是一个值得追求的目标，如果是，考虑到当前可能的解决方案，其程度如何。
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