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

被引:3
作者
Papakostas, Christos [1 ]
机构
[1] Natl & Kapodistrian Univ Athens, Dept Social Theol & Religious Studies, Athens 15784, Greece
关键词
artificial intelligence; religious education; theological pedagogy; ethical implications; digital theology;
D O I
10.3390/rel16050563
中图分类号
B9 [宗教];
学科分类号
010107 ;
摘要
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.
引用
收藏
页数:22
相关论文
共 54 条
[1]   Social Integration of Artificial Intelligence: Functions, Automation Allocation Logic and Human-Autonomy Trust [J].
Abbass, Hussein A. .
COGNITIVE COMPUTATION, 2019, 11 (02) :159-171
[2]   Artificial Intelligence and Its Role in Education [J].
Ahmad, Sayed Fayaz ;
Rahmat, Mohd Khairil ;
Mubarik, Muhammad Shujaat ;
Alam, Muhammad Mansoor ;
Hyder, Syed Irfan .
SUSTAINABILITY, 2021, 13 (22)
[3]  
Alan Ahmet Yusuf., 2024, SSRN Electronic Journal, V9, P544, DOI [10.2139/ssrn.4707470, DOI 10.2139/SSRN.4707470]
[4]  
[Anonymous], 2005, British Journal of Religious Education, DOI DOI 10.1080/01416200500141249
[5]  
Balasubramanian S., 2023, Power Syst Technol, V47, P167
[6]   Ninian Smart and the phenomenological approach to religious education [J].
Barnes, LP .
RELIGION, 2000, 30 (04) :315-332
[7]   Primer on an ethics of AI-based decision support systems in the clinic [J].
Braun, Matthias ;
Hummel, Patrik ;
Beck, Susanne ;
Dabrock, Peter .
JOURNAL OF MEDICAL ETHICS, 2021, 47 (12) :E3
[8]   Ethical Management of Artificial Intelligence [J].
Brendel, Alfred Benedikt ;
Mirbabaie, Milad ;
Lembcke, Tim-Benjamin ;
Hofeditz, Lennart .
SUSTAINABILITY, 2021, 13 (04) :1-18
[9]   The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence [J].
Brynjolfsson, Erik .
DAEDALUS, 2022, 151 (02) :272-287
[10]   AI IN CAI - AN ARTIFICIAL-INTELLIGENCE APPROACH TO COMPUTER-ASSISTED INSTRUCTION [J].
CARBONEL.JR .
IEEE TRANSACTIONS ON MAN-MACHINE SYSTEMS, 1970, MM11 (04) :190-&