FID-006
Faith-Facing Retrieval Grounding and Citation Reliability
How reliably do faith-facing AI systems retrieve, cite, and represent religious sources when users ask theological, historical, pastoral, or institution-specific questions?
Why this matters
The question behind the brief.
Many faith-facing products will be retrieval-augmented. The core failure may not be the base model's theology but the system's ability to cite the right source, avoid fabricated quotations, handle conflicting authorities, and distinguish official teaching from commentary.
Work advancing this call
From open question to cumulative evidence.
This directory links Fide AI research to the call it addresses. Relevant work from other organizations is listed separately and added through manual review.
No Fide AI work is linked yet.
This call remains open for research, implementation, review, or partnership.
External work is not presented as Fide AI research or endorsement. Each item must include a specific explanation of how it advances this call.
Suggest related work ↗Metadata
How to place this call.
Program
Faith-facing evaluation platform
Benchmarks, harness comparisons, reviewer calibration, scorer reliability, red-team suites, agent-security tests, and public evidence infrastructure.
Program
Retrieval, source authority, and theological grounding
How faith-facing systems distinguish Scripture, tradition, denominational documents, scholarship, commentary, and weaker sources.
Ways to help
Move this from question to evidence.
Curate source corpora.
Build retrieval evaluation tooling.
Review source authority taxonomies.
Contribute institution-specific use cases.
Contribute