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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Veröffentlicht in:	NPJ digital medicine Jg. 6; H. 1; S. 6 - 7
Hauptverfasser:	Joyce, Dan W., Kormilitzin, Andrey, Smith, Katharine A., Cipriani, Andrea
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 18.01.2023 Nature Publishing Group Nature Portfolio
Schlagworte:	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-Zugang:	Volltext
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