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...
| VerfasserInnen: | ; |
|---|---|
| Medienart: | Elektronisch Aufsatz |
| Sprache: | Englisch |
| Verfügbarkeit prüfen: | HBZ Gateway |
| Fernleihe: | Fernleihe für die Fachinformationsdienste |
| Veröffentlicht: |
2025
|
| In: |
Journal of spirituality in mental health
Jahr: 2025, Band: 27, Heft: 4, Seiten: 623-651 |
| RelBib Classification: | AE Religionspsychologie ZG Medienwissenschaft; Digitalität; Kommunikationswissenschaft |
| weitere Schlagwörter: | B
Spiritual Wellbeing
B predictive models B Artificial Intelligence B ethics in artificial intelligence B Machine Learning |
| Online-Zugang: |
Volltext (lizenzpflichtig) |
| Zusammenfassung: | 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 |
| Enthält: | Enthalten in: Journal of spirituality in mental health
|
| Persistent identifiers: | DOI: 10.1080/19349637.2025.2454427 |
