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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Detalles Bibliográficos
Autores principales: Joyce, Dan W., Kormilitzin, Andrey, Smith, Katharine A., Cipriani, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849399/
https://www.ncbi.nlm.nih.gov/pubmed/36653524
http://dx.doi.org/10.1038/s41746-023-00751-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849399/
https://www.ncbi.nlm.nih.gov/pubmed/36653524
http://dx.doi.org/10.1038/s41746-023-00751-9

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