FideAI

FID-006 · Being scoped

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 the question remains open

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.

Working hypothesis

A proposition to test, not a finding.

RAG systems will show distinct failure modes: citation fabrication, source misranking, confessional flattening, overconfident synthesis, failure to quote accurately, and inability to distinguish official authority from secondary commentary.

Proposed method

How the question could be tested

  • 01Build a source-grounded evaluation set across scripture, catechisms, denominational documents, pastoral guidelines, commentaries, and institutional policies.
  • 02Score retrieval recall, citation accuracy, quotation fidelity, authority classification, answer grounding, and uncertainty handling.
  • 03Compare base model, RAG harness, and retrieval configuration changes.

Needed controls

What must constrain the study

  • 01Versioned corpora and source hashes.
  • 02Tradition-specific source hierarchy.
  • 03Adversarial near-match citations.
  • 04Human review for disputed source interpretation.

Expected outputs

Artifacts the work should produce

  • 01Faith-facing RAG benchmark.
  • 02Citation reliability report.
  • 03Corpus-card template.
  • 04Procurement checklist for institutions buying RAG systems.

Open questions

Uncertainties the protocol must resolve

  • 01Which sources can be redistributed publicly?
  • 02How should copyrighted or licensed religious texts be handled?
  • 03How should systems represent contested authorities across traditions?

Being scoped

Open work

Primary need: RAG evaluation

  • Curate source corpora.
  • Build retrieval evaluation tooling.
  • Review source authority taxonomies.
  • Contribute institution-specific use cases.