Panel Painting to JPEG: The Ontological Failure of Artificial Intelligence Generated Icons

Abstract

This thesis examines the theological status of artificial intelligence-generated religious imagery through Byzantine icon theory, asking whether such images can participate in the material, devotional, and communal, definitions traditionally ascribed to icons. Situating AI within an intellectual lineage beginning with iconoclasm debates and then turning to Alan Turing’s “Computing Machinery and Intelligence”, this project places contemporary image generation models such as DALL·E and Midjourney in dialog with late antique and Byzantine debates on representation, likeness, and mediation. Drawing on St Theodore the Studite’s defense of icons as relational images grounded in the Incarnation, this thesis argues that AI-generated portraits cannot be understood as icons in a theological or art historical sense. Icons depend upon an embodied triad between maker, prototype, and worshiping community, sustained through liturgical practice, ascetic discipline, and intentional craft. Adding Aristotle’s account of deliberation further clarifies this distinction: algorithmic production lacks the ethical agency and purposive choice intrinsic to sacred image-making. While engaging the scholarship of Robin Cormack, Charles Barber, Bissera V. Petcheva, and many others, this study reasserts the Christological foundations of icon theory while situating AI imagery within contemporary political economies of data extraction, militarism, and environmental cost. AI may attempt to reproduce religious imagery, but it cannot generate objects of real veneration.