Evaluating Artificial Intelligence Through a Christian Understanding of Human Flourishing
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arXiv:2604.03356v1 Announce Type: new Abstract: Artificial intelligence (AI) alignment is fundamentally a formation problem, not only a safety problem. As Large Language Models (LLMs) increasingly mediate moral deliberation and spiritual inquiry, they do more than provide information; they function as instruments of digital catechesis, actively shaping and ordering human understanding, decision-making, and moral reflection. To make this formative influence visible and measurable, we introduce th
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✦ AI Summary· Claude Sonnet
Computer Science > Artificial Intelligence
[Submitted on 3 Apr 2026]
Evaluating Artificial Intelligence Through a Christian Understanding of Human Flourishing
Nicholas Skytland, Lauren Parsons, Alicia Llewellyn, Steele Billings, Peter Larson, John Anderson, Sean Boisen, Steve Runge
Artificial intelligence (AI) alignment is fundamentally a formation problem, not only a safety problem. As Large Language Models (LLMs) increasingly mediate moral deliberation and spiritual inquiry, they do more than provide information; they function as instruments of digital catechesis, actively shaping and ordering human understanding, decision-making, and moral reflection. To make this formative influence visible and measurable, we introduce the Flourishing AI Benchmark: Christian Single-Turn (FAI-C-ST), a framework designed to evaluate Frontier Model responses against a Christian understanding of human flourishing across seven dimensions.
By comparing 20 Frontier Models against both pluralistic and Christian-specific criteria, we show that current AI systems are not worldview-neutral. Instead, they default to a Procedural Secularism that lacks the grounding necessary to sustain theological coherence, resulting in a systematic performance decline of approximately 17 points across all dimensions of flourishing. Most critically, there is a 31-point decline in the Faith and Spirituality dimension. These findings suggest that the performance gap in values alignment is not a technical limitation, but arises from training objectives that prioritize broad acceptability and safety over deep, internally coherent moral or theological reasoning.
Subjects: Artificial Intelligence (cs.AI)
Cite as: arXiv:2604.03356 [cs.AI]
(or arXiv:2604.03356v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2604.03356
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From: Nicholas Skytland [view email]
[v1] Fri, 3 Apr 2026 17:08:29 UTC (32 KB)
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