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.
Giorgetti, C., Contissa, G., Basile, G. (2025). Healthcare AI, explainability, and the human-machine relationship: a (not so) novel practical challenge. FRONTIERS IN MEDICINE, 12, 1-5 [10.3389/fmed.2025.1545409].
Healthcare AI, explainability, and the human-machine relationship: a (not so) novel practical challenge
Giorgetti, Claudia
Writing – Original Draft Preparation
;Contissa, GiuseppeWriting – Review & Editing
;Basile, GiuseppeWriting – Review & Editing
2025
Abstract
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.| File | Dimensione | Formato | |
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