Research areas for faith-facing AI.

Fide AI organizes its work around the hard evaluation problems that appear when AI systems answer questions of faith, morality, tradition, authority, and care.

Core areas

01 Faith-sensitive evaluation

Benchmarks and rubrics for AI behavior in theological, moral, spiritual, and pastoral-adjacent tasks.

02 Theological grounding

Measurement of source use, evidence quality, citation discipline, prooftexting, and invented authority claims.

03 Comparative tradition representation

Evaluation of how systems represent disagreement across traditions without flattening or caricature.

04 Pastoral-adjacent safety

Escalation, boundaries, user agency, grief, scrupulosity, abuse disclosures, self-harm, and referral behavior.

05 Institutional readiness

Guidance for churches, schools, publishers, ministries, and nonprofits deciding whether and how to adopt AI.

06 Claims and public trust

Standards for evaluation reports, certification limits, funding transparency, corrections, and participant claims.

Research stance

Fide AI does not treat faith-facing evaluation as denominational certification. The task is to make behavior inspectable, expose limits, and help institutions reason with evidence.