Using artificial intelligence for spiritual well-being: conceptualizing predictive models

The aim of this article is to explore how to integrate artificial intelligence (AI) with spiritual well-being. The framework is based on the use of AI to predict and improve spiritual outcomes. The proposed model deals with shortcomings common to most existing evaluations of spiritual well-being. Th...

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Autori: Kumar, Dinesh (Autore) ; Uchoi, Enjula (Autore)
Tipo di documento: Elettronico Articolo
Lingua:Inglese
Verificare la disponibilità: HBZ Gateway
Interlibrary Loan:Interlibrary Loan for the Fachinformationsdienste (Specialized Information Services in Germany)
Pubblicazione: 2025
In: Journal of spirituality in mental health
Anno: 2025, Volume: 27, Fascicolo: 4, Pagine: 623-651
Notazioni IxTheo:AE Psicologia delle religioni
ZG Scienza dei media; Digitalità; Scienza della comunicazione
Altre parole chiave:B Spiritual Wellbeing
B predictive models
B Artificial Intelligence
B ethics in artificial intelligence
B Machine Learning
Accesso online: Volltext (lizenzpflichtig)
Descrizione
Riepilogo:The aim of this article is to explore how to integrate artificial intelligence (AI) with spiritual well-being. The framework is based on the use of AI to predict and improve spiritual outcomes. The proposed model deals with shortcomings common to most existing evaluations of spiritual well-being. This framework provides dynamic spiritual health insights informed by data. The AI methods include natural language processing, predictive modeling, andreal-timee analytics. Findings reveal the potential for AI to close key gaps in spiritual well-being assessment and treatment. This pioneering study sets a rich foundation for the future of AI and spirituality.
ISSN:1934-9645
Comprende:Enthalten in: Journal of spirituality in mental health
Persistent identifiers:DOI: 10.1080/19349637.2025.2454427