Reading Room
Essays, dialogues, and field notes from the work.
An ongoing inquiry into what it means to be human in an age of artificial intelligence.
- Can AI sin? And why it matters.EssayPillar III — Imago Ethos
On moral agency, missing the mark, and why setting the target remains a uniquely human task.
Read - Clay to Code: The Evolution of Human IdentityEssayPillar II — Imago Hominis
On the Imago Dei, the metaphor of the potter, and what it means to be shaped by data and algorithms rather than by love.
Read - God and the Mystery of AIEssayPillar I — Imago Dei
“If you can understand it, it's not God.” On Augustine, the limits of mastery, and the one question AI cannot answer.
Read - The Image and the AlgorithmEssayPillar I — Imago Dei
What does it mean to be made in the image of God in an age of generative machines?
Read - The LighthouseEssayPillar III — Imago Ethos
On automation, the loss of work, and what remains of the human when the machines have taken the wheel.
Read - The Odyssey, AI, and Our JourneysEssayPillar II — Imago Hominis
On telos, homecoming, and the difference between a life that journeys toward an end and a machine that only calculates the next answer.
Read - The Selfie and the SoulEssayPillar II — Imago Hominis
On identity, the algorithmic gaze, and the Imago Dei in an age where the self is endlessly photographed, filtered, and optimised.
Read - The WhyEssayPillar II — Imago Hominis
If AI is Abundant Intelligence, what would we actually want to know? On the questions that endure, and the Divine Intelligence that has been answering them all along.
Read - Theology of Artificial IntelligenceGuidePillar I — Imago Dei
An introduction to the theological questions raised by AI — creation, image, agency, and the limits of the made thing.
Read - When We Ask: AI and the Questions We Can't AnswerEssayPillar II — Imago Hominis
What does it mean when we can ask anything of a machine, but hesitate to ask the same of ourselves?
Read - Who Gets to Decide?EssayPillar III — Imago Ethos
On moral decay, institutional failure, and why the people shaping AI's future may be the least equipped to govern it well.
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