← Calls for Research
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.
Metadata
How to place this idea.
monitoring designprivacy reviewpastoral carereviewerresearcher
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