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The algorithm and the almighty

Rethinking Omniscience, Suffering, and Salvation

Bibliographic Data

ID7166303
AuthorsKimberly A Madero (0009-0006-7829-5947, University of Colorado Boulder, corresponding author)
Year2025
Volume61
Issue3
Pages749-751
Publication date2025-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueReligious Studies (JOURNAL)
Journal identifiersISSN: 0034-4125 • E-ISSN: 1469-901X
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0034412525000290
OpenAlexW4410446375
LanguageEN
Citations received1
References cited3

This article examines the philosophical and theological implications of artificial intelligence (AI) and the technological singularity for core religious concepts. The predictive capacities of AI challenge traditional accounts of divine omniscience, raising critical questions about the distinction between algorithmic foreknowledge and theological models of perfect knowledge. The increasing determinacy of human behaviour through data-driven systems complicates classical formulations of human freedom and moral responsibility. Additionally, the potential for artificial suffering demands an expansion of theodicy and a reassessment of the creator-creature relationship in light of human technological agency. Finally, emerging technological eschatologies, promising digital immortality and transcendence, confront religious soteriology with novel anthropocentric models of salvation. This study argues that the philosophy of religion must critically rearticulate its categories of knowledge, suffering, and eschatological hope to remain conceptually viable in a world mediated by intelligent systems

Epistemology · Omniscience · Digital Media and Philosophy · Philosophy

  • Religious Freedom in the Age of AI and Surveillance

    Antonio Quirós-Fons•The Review of Faith & International…•2025

  • The Imperative of Responsibility

    Hans Jonas•The Imperative of Responsibility•1984

  • The singularity is near

    Ray Kurzweil•The singularity is near•2005

Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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