Imago Hominis : Artificial Intelligence as Moral Mirror and the Recovery of Creator Responsibility
The growing literature on artificial intelligence (AI) and the imago Dei has focused primarily on whether AI systems can or might share in the image of God, asking whether machines possess properties, functions, or relational capacities that qualify them as image-bearers. This article argues that this dominant framing, while theologically generative, obscures a more urgent question: What do AI systems reveal about their human creators? Drawing on the theological principle that creation reflects the character of the creator, this article develops the imago hominis (the image of the human) as a theological hermeneutic for interpreting AI. Rather than asking whether AI bears the image of God, the framework asks what AI reveals about the moral character of the persons and institutions that create, govern, and deploy it. AI systems function not as independent moral agents but as moral mirrors, encoding and amplifying the values, priorities, and blind spots of those responsible for their design, training, and deployment. Through an analysis of three case studies—racial bias in healthcare algorithms, Australia's Robodebt automated welfare system, and the correctional offender management profiling for alternative sanctions recidivism risk assessment tool—the article argues that what are commonly described as “AI ethics failures” are more accurately understood as failures of institutional moral character made visible through algorithmic implementation. This reframing carries significant implications for both theological anthropology and AI governance. It recovers creator responsibility by relocating moral accountability from the artifact to the persons and institutions that create, govern, and deploy it.
Authors
- Jay J. Oh (ORCID: https://orcid.org/0000-0002-1921-029X)
- Michelle E. J. Oh
Institutions
- Fordham University (US)
- Cornell University (US)
- NYU Langone Health (US)
- Stony Brook University (US)
Publication Details
- Journal
- The Linacre Quarterly
- Published
- 2026-09-29
- DOI
- https://doi.org/10.1177/00243639261487904
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00