Santé numérique. IA opaque et désir de transparence : que veulent vraiment les usagers ?

JMIG 2026 Open access

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Authors: Mina Bjelogrlic, Laëtitia Gosetto, Hugues Turbé, Inês E. Amaro, Julie Guebey, Christophe Gaudet-Blavignac, Christian Lovis
DOI: 10.53738/revmed.2026.22.947.48142
Cited by: 0

Abstract

Whether generative, specialized, agentic, or all the later, artificial intelligence (AI) is gradually taking root in the daily lives of part of the French-speaking Swiss population. In healthcare, some applications are already in clinical use and shaping patient care. But what do we truly know about these learning systems? What blind spots remain in our understanding? To what extent can debates on transparency help maximize benefits while limiting unnecessary risks? Central or not, the issue is divisive. Without being exhaustive, this article highlights the value and challenges of AI transparency, as well as current debates on its usefulness and feasibility.

Fields of Study & Subjects

Explainable Artificial Intelligence (XAI) Artificial Intelligence in Healthcare and Education Ethics and Social Impacts of AI

Publication details

Journal / source
JMIG
Volume
22
Issue
947
Pages
234–237
Publication date
1 January 2026
Language
EN