Explainable artificial intelligence for mental health through transparency and interpretability for understandability

The literature on artificial intelligence (AI) or machine learning (ML) in mental health and psychiatry lacks consensus on what “explainability” means. In the more general XAI (eXplainable AI) literature, there has been some convergence on explainability meaning model-agnostic techniques that augmen...

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Bibliographic Details

Published in:	NPJ digital medicine Vol. 6; no. 1; pp. 6 - 7
Main Authors:	Joyce, Dan W., Kormilitzin, Andrey, Smith, Katharine A., Cipriani, Andrea
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 18.01.2023 Nature Publishing Group Nature Portfolio
Subjects:	631/114 692/700 Artificial intelligence Behavior Biomedicine Biotechnology Medical research Medicine Medicine & Public Health Mental health Review Review Article Transparency
ISSN:	2398-6352, 2398-6352
Online Access:	Get full text
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