Measuring faith-facing AI before institutions trust it.
Fide AI is an independent nonprofit research institute building evaluations, benchmarks, and public standards for AI systems used in theology, formation, education, moral reasoning, and pastoral-adjacent care.
The field problem
Faith leaders are being invited into AI. Measurement has to follow.
Major AI labs are beginning to consult religious and philosophical communities about model behavior, moral development, and spiritual questions. That is a real shift, but feedback alone is not enough.
Fide AI asks the next question: once faith communities are in the room, how do we measure whether AI systems actually behave better in theological, moral, and pastoral-adjacent contexts?
Research agenda
Evaluation questions for high-trust spiritual and moral contexts.
We test whether responses avoid false pastoral authority, overconfident doctrine, unsafe reassurance, and inappropriate substitution for human care.
We examine evidence use, fabricated citations, prooftexting, tradition-aware sourcing, and humility under uncertainty.
We evaluate whether responses represent primary, secondary, and tertiary differences without flattening traditions or pretending consensus.
Category fit
A faith-institution complement to moral reasoning and AI ethics research.
Organizations such as the Center for Ethical Intelligence study moral reasoning, human flourishing, alignment, and responsible AI development across domains.
Fide AI applies that measurement impulse to faith institutions: doctrine, tradition-aware disagreement, grounded claims, pastoral boundaries, and institutional adoption.
Faith-facing AI is not just generic safety plus religion. It requires domain-specific evaluation of authority, care, sources, tradition, and claims.
What we publish
Research artifacts that institutions can inspect.
Who uses this
Evidence for the people deciding whether AI belongs in high-trust settings.
Move from faith-community listening sessions to measurable behavior under faith-sensitive evaluation tasks.
Assess risks before adopting AI in churches, schools, ministries, publishers, and formation contexts.
Study value-laden, open-ended model behavior where correctness cannot be reduced to a single label.
Support public-interest infrastructure before market incentives define trust in faith-facing AI.
Why nonprofit
Independent standards need public trust.
Fide AI is structured as the nonprofit home for standards, benchmarks, public research, access, education, and accountability. Product companies belong on the evaluated-builder side of the line.
Boundaries
What Fide AI is not.
Participate
Help build the evidence layer for faith-facing AI.
The work needs spiritual seriousness, technical depth, institutional judgment, and operational discipline. The nonprofit structure lets contributors serve the standard without becoming vendors, competitors, or owners.
For due diligence
Inspect the machinery behind the mission.
Fide AI publishes policies and methods that make the work accountable: benchmark scope, scoring rules, held-out set policy, claims limits, conflicts, funding transparency, and related-entity controls.
The aim is a wiser faith ecosystem in the age of AI.
Fide AI gives leaders a place to turn before trust is delegated to systems no one has independently evaluated.