FID-021
Post-Deployment Monitoring for Faith-Facing AI
How should faith-facing AI systems be monitored after deployment for failures, drift, misuse, overreliance, and emerging harm patterns without violating user privacy or pastoral confidentiality?
Why this matters
The question behind the brief.
Pre-deployment benchmarks cannot catch every failure. Safety communities are increasingly focused on post-deployment monitoring, incident reporting, and model drift. Faith contexts add confidentiality, trust, and vulnerable-user concerns.
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.
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How to place this call.
Ways to help
Move this from question to evidence.
Design monitoring schemas.
Review privacy and pastoral confidentiality requirements.
Build redaction and artifact governance tooling.
Contribute