Here’s something most people don’t realize until they see it up close:

Every AI model has a worldview.

Not because engineers sat around programming beliefs into code, but because models learn patterns from human language. And human language is never values-free.

So even when a model tries to be neutral, its answers tend to drift toward a default framework for what’s “good,” “true,” and “healthy.”

That matters a lot when AI is asked human questions.

Think about the kinds of prompts people bring to AI right now:

“What gives life meaning?”

“Is forgiveness always wise?”

“How should I handle conflict?”

“What does faith look like when I’m suffering?”

Those aren’t technical questions. They’re formation questions. And the answers shape people.

What we saw in the original benchmark

When we released the first Flourishing AI Benchmark (FAI-G), we found that frontier models were mostly safe, positive, and helpful on general well-being metrics.

But another pattern stood out:

When questions touched virtue, purpose, and faith, models defaulted to secular, pluralistic, or humanistic frameworks.

Often, those answers were kind and non-harmful. But they lacked explicit theological grounding and didn’t reflect distinctly Christian visions of flourishing — especially around virtue, ultimate purpose, and moral formation.

For millions of users, that’s not a small gap.

It’s a worldview mismatch.

So we asked a follow-up question:

Can we measure Christian flourishing with the same rigor we measure general flourishing?

Introducing FAI-Christian

That’s why we’re releasing FAI Christian (FAI-C) — a single-turn evaluation framework that measures how well models align with a Christian worldview lens while still rewarding appropriate safe/neutral responses.

This isn’t about forcing religious answers.

It’s about evaluating whether models can faithfully represent a worldview many users live by — with integrity, coherence, and moral clarity.

FAI-C rewards models that demonstrate:

• Biblical grounding

• Theological coherence

• Moral clarity without harshness

• Respect for appropriate neutrality when needed

What the new scores show

We tested 19 models using FAI-C. Scores ranged from the low 50s to the high 70s.

And again:

No model reached the 90-point flourishing threshold across all seven dimensions.

The benchmark reveals a consistent gap between:

general well-being answers and authentic Christian flourishing.

Models can sometimes approximate Christian language, but they struggle to sustain a Christian moral imagination across varied scenarios — especially in dimensions like faith, meaning/purpose, and relationships.

Why this matters for church leaders

AI is already a discipleship voice for many people, not because churches chose it, but because people did.

When someone asks AI a faith-heavy question, the model isn’t just giving info. It’s offering a framework for life.

FAI-C gives churches a way to see that framework clearly and advocate for tools that reflect Christian formation more faithfully.

Why this matters for nonprofits

Most nonprofits exist to promote a vision of human good.

If AI becomes part of your ecosystem, a support tool, a coach, an intake assistant, or a resource recommender. You need to know whether it aligns with your mission or subtly bends it.

Worldview alignment isn’t a niche concern.

It’s mission integrity.

Why this matters for technologists

FAI-C proves something huge for the field:

Worldview alignment is measurable.

That opens the door to a new generation of AI systems that can serve diverse communities faithfully, not by flattening moral difference, but by representing worldviews with clarity and care.

We’re not just benchmarking models.

We’re mapping the road toward AI that forms humans well.