What question did this study set out to answer?

The central aim is to develop a social-practical account of Christian doctrine that emphasizes contextual discernment over doctrinal differentiation.

March 10, 2026

Artificial Theological Intelligence: Doctrinal Adequacy, Contextual Disambiguation, and Catholicity

Key Points

The central aim is to develop a social-practical account of Christian doctrine that emphasizes contextual discernment over doctrinal differentiation.
Proposes a framework of artificial theological intelligence for contextual discernment and catholic learning.
Analyzes contemporary theology's need for semantic and pragmatic fitting under Scripture's authority.
Uses two Korean American case studies to test the proposed framework.
Identifies the necessity for disciplined disambiguation in theology over doctrinal differentiation.
Demonstrates that shared confessional sentences can lead to divergent outcomes in different contexts.
Suggests that artificial theological intelligence can improve doctrinal adequacy and pastoral effectiveness.

Abstract

Abstract This essay develops a social‐practical account of Christian doctrine: theology is adequate when, under Scripture's authority and the Spirit's work, ecclesial speech proves semantically and pragmatically fitting, pastorally fruitful, and doctrinally answerable. Contemporary theology needs disciplined disambiguation more than doctrinal differentiation, since shared confessional sentences and infrastructures can be deployed toward divergent, even harmful, ends across racialized and global contexts. Against a Christendom reflex for doctrinal differentiation, the essay proposes artificial theological intelligence, a Spirit‐formed competence for contextual discernment, catholic learning, and answerable judgment. Recent multilingual large language model AI research serves as a heuristic. Two Korean American case studies test the proposal.

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