FID-045
Faith-AI Research Gap Map and Evidence Commons
What does the current AI ethics, safety, fairness, HCI, and evaluation literature actually study about religion and faith, what does it omit, and how should Fide AI maintain a living evidence map that guides future research rather than duplicating or overstating existing work?
Why this matters
The question behind the brief.
Recent public claims note that religious bias appears underexamined relative to other AI bias topics. Fide AI needs a disciplined way to verify such claims, track the field, identify neglected communities and methods, and help funders, researchers, and faith institutions see where new work is most needed. The first repo-native artifacts should be `research/sources.yaml`, `research/source-tags.yaml`, `research/reviews/`, and the reusable `templates/source-note.md` annotation template.
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.
Contribute papers, datasets, and non-English sources.
Review taxonomy labels and coding criteria.
Build literature-search and evidence-map tooling.
Connect funders and researchers to neglected question areas.
Contribute