Artificial Intelligence and Interreligious Dialogue: Emerging Implications for Faith-Based Organizations
Year: 2026
Type: article
Abstract: This article advances a constructive theological account of Human-Centered Artificial Intelligence (HCAI) for Faith-Based Organizations (FBOs) engaged in interreligious dialogue (IRD). Drawing on a practical–theological methodology, the study follows four interrelated steps—descriptive–empirical, interpretive, normative, and pragmatic—to examine how AI-enabled practices such as translation, textual analysis, and cross-scriptural synthesis are reshaping contemporary forms of dialogue among religious and non-religious communities. Through the empirical mapping of current AI applications, interdisciplinary interpretation informed by social and ethical analysis, and normative theological evaluation, the study identifies both the opportunities and risks of AI-mediated IRD. On this basis, it synthesizes three interdependent dimensions that structure the proposed framework: (1) Ethics, which clarifies the moral purpose and values guiding AI use; (2) Technology, which addresses mediation, governance, and power in AI systems; and (3) Humans, which centers institutional responsibility, agency, and sustainability within FBOs. From this synthesis, the article introduces an AI–IRD Integration Framework that translates theological and ethical reflection into practical guidance for responsible AI adoption. The study contributes an original interdisciplinary perspective that equips religious leaders, theologians, policymakers, and faith communities to engage AI not merely as a tool, but as a human-centered partner in fostering inclusive, sustainable, and ethically grounded dialogue in an era of AI–human coexistence.
Source: Religions
DOI: 10.3390/rel17030354
Author: Jeff Clyde G. Corpuz
Institution: De La Salle University
Language: English
Subfield: Religious studies
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,172
Funder: De La Salle University
OpenAlex ID: W7135033086
