Artificial Intelligence in Religious Education: Ethical, Pedagogical, and Theological Perspectives

Искусственный интеллект в религиозном образовании: этические, педагогические и теологические аспекты
Christos Papakostas
2025-04-28

AI ethicsAI-mediated dialogic simulationsArtificial intelligenceData privacyReligious education
This study investigates the integration of Artificial Intelligence (AI) in Religious Education (RE), a field traditionally rooted in spiritual formation and human interaction. Amid increasing digital transformation in education, theological institutions are exploring AI tools for teaching, assessment, and pastoral engagement. Using a critical literature review and analysis of institutional case studies, the paper examines the historical development of AI in education, current applications in general and theological contexts, and the ethical challenges it introduces, especially regarding decision making, data privacy, and bias as well as didactically grounded opportunities such as AI-mediated dialogic simulations. The study identifies both the pedagogical advantages of AI, such as personalization and administrative efficiency, and the risks of theological distortion, overreliance, and epistemic conformity. It presents a range of real-world implementations from institutions like Harvard Divinity School and the Oxford Centre for Digital Theology, highlighting best practices and cautionary approaches. The findings suggest that AI can enrich RE when deployed thoughtfully and ethically, but it must not replace the relational and formational aspects central to RE. The paper concludes by recommending policy development, ethical oversight, and interdisciplinary collaboration to guide responsible integration. This research contributes to the growing discourse on how AI can be aligned with the spiritual and intellectual goals of RE in a rapidly evolving digital age.
1
AI can enrich Religious Education through personalization, administrative efficiency, and AI-mediated dialogic simulations.
2
AI integration in Religious Education raises ethical concerns involving decision-making, data privacy, algorithmic bias, theological distortion, and epistemic conformity.
3
AI should complement rather than replace the relational and formational dimensions central to Religious Education.
4
Institutional case studies, including Harvard Divinity School and the Oxford Centre for Digital Theology, demonstrate both promising implementations and cautionary practices.
5
Responsible integration requires institutional policies, ethical oversight, and interdisciplinary collaboration aligned with Religious Education’s spiritual and intellectual goals.

integration of Artificial Intelligence in Religious Education

ethical, pedagogical, and theological implications, opportunities, and risks of AI use in Religious Education

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2025-04-28
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Christos Papakostas
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