Abstract
This article explores the potential of employing generative AI in biblical studies, focusing on Chat GPT’s strengths and limitations to perform Inductive Bible Study (IBS). Using the Parable of the Sower (Matt 13:3b–9) as a case study, the author evaluates Chat GPT’s ability to carry out core IBS tasks, including division and the identification of Major Structural Relationships (MSRs) in Matthew and in Matthew 13, as well as interpreting Matt 13:3b–9. The study concludes that ChatGPT can serve as a valuable research assistant but cannot replace human scholars. It also proposes a responsible human-AI collaboration model, explores pedagogical applications, and outlines future directions for AI’s application in broader biblical studies.
Recommended Citation
Chen, Shishou
(2026)
"Can AI Perform Inductive Bible Study? A Case Study and Implications for Applying AI in Biblical Studies,"
The Journal of Inductive Biblical Studies:
Vol. 9:
Iss.
2, p. 7–35.
Available at:
https://place.asburyseminary.edu/jibs/vol9/iss2/3
