From Verse to Vision

Exploring AI-Generated Religious Imagery in Bible Teaching

Bibliographic Data

ID5654593
AuthorsMegan Chrostowski (0000-0002-5817-2687), Andrzej Jacek Najda
Year2025
Volume16
Issue8
Pages1051
Publication date2025-08-14
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueReligions (JOURNAL)
Journal identifiersISSN: 2077-1444 • E-ISSN: 2077-1444
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/rel16081051
LanguageEN
Citations received3
References cited26

This article critically analyses the use of generative Artificial Intelligence (GenAI)-specifically, the DALL·E system within the ChatGPT-4o environment-for creating visualisations of biblical scenes for teaching purposes. As part of a case study examining the Baptism of Jesus in the Jordan (Mt 3:13-17; cf. Mark 1:9-11; Luke 3:21-22; John 1:31, 34) and the Last Supper (Mt 26:17-30; cf. Mark 14:12-16; Luke 22:7-13), four AI-generated images are analysed. Two were created using general, non-specific prompts, while the other two were based on more precise queries containing references to Catholic symbolism and the images' intended educational use. A comparison of these variants reveals a lack of theological depth and symbolic oversimplification in AI-generated images, as well as a tendency to reproduce Western cultural stereotypes. Despite their aesthetic appeal and quick availability, these images do not reflect the complexity of the biblical or spiritual contexts of the scenes depicted. This study aims to evaluate the theological, symbolic, and pedagogical value of AI-generated images and to provide practical recommendations for their responsible use in Bible didactics. In conclusion, the authors argue that GenAI can support biblical teaching when used consciously, critically, and reflectively

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