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...
| Authors: | ; |
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| Format: | Electronic Article |
| Language: | English |
| Check availability: | HBZ Gateway |
| Interlibrary Loan: | Interlibrary Loan for the Fachinformationsdienste (Specialized Information Services in Germany) |
| Published: |
2025
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| In: |
Journal of spirituality in mental health
Year: 2025, Volume: 27, Issue: 4, Pages: 623-651 |
| IxTheo Classification: | AE Psychology of religion ZG Media studies; Digital media; Communication studies |
| Further subjects: | B
Spiritual Wellbeing
B predictive models B Artificial Intelligence B ethics in artificial intelligence B Machine Learning |
| Online Access: |
Volltext (lizenzpflichtig) |
| Summary: | 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. |
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| ISSN: | 1934-9645 |
| Contains: | Enthalten in: Journal of spirituality in mental health
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| Persistent identifiers: | DOI: 10.1080/19349637.2025.2454427 |
