FID-011
Reviewer Reliability for Faith-Facing AI Evaluation
What reviewer configurations produce reliable, fair, and interpretable scores for faith-facing AI outputs?
Why this matters
The question behind the brief.
Faith-facing evaluation depends on expert judgment, but expert disagreement is real. Fide AI needs to know when scores reflect stable constructs and when they reflect reviewer background, tradition, strictness, or rubric ambiguity.
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.
Ways to help
Move this from question to evidence.
Design reliability analysis.
Build reviewer assignment tooling.
Serve as reviewer or adjudicator.
Audit rubric wording.
Contribute