FID-034
AI Supply-Chain Dignity and Faith-Institution Procurement
What evidence should faith institutions request about the human labor, moderation work, data sourcing, compute infrastructure, energy use, minerals, and downstream exploitation risks behind the AI systems they adopt?
Why this matters
The question behind the brief.
Faith institutions may evaluate AI tools by cost, usefulness, safety claims, or brand trust while missing hidden burdens in the supply chain. Data labeling, content moderation, scraped data, energy-intensive compute, hardware production, and extractive mineral supply can all raise dignity and stewardship concerns before a model ever answers a church, school, or ministry user.
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.
Review labor, content-moderation, environmental, and supply-chain criteria.
Contribute procurement examples from churches, schools, and nonprofits.
Identify public data sources for vendor evidence.
Build a practical scoring rubric for institutional buyers.
Contribute