FID-040 · Open question
AI Power Concentration and Subsidiarity Benchmarks
How can Fide AI evaluate whether AI systems and governance arrangements preserve meaningful local agency for churches, schools, ministries, nonprofits, families, and vulnerable communities rather than concentrating power in vendors, platforms, central institutions, or distant technical experts?
Why the question remains open
Faith communities may become dependent on AI systems they cannot inspect, contest, configure, exit, or govern. Even helpful systems can weaken local responsibility if important norms are set only by platform defaults, proprietary models, centralized policy teams, or opaque institutional contracts. Subsidiarity turns this into a measurable question of community agency and accountability.
Working hypothesis
A proposition to test, not a finding.
AI deployments will often offer user-friendly customization without meaningful community control. Stronger governance will require measurable indicators such as local configuration, appeal, audit access, data portability, policy transparency, participatory standard-setting, vendor-switching feasibility, local override mechanisms, and safeguards against capture by abusive local leaders.
Proposed method
How the question could be tested
- 01Define subsidiarity indicators: local configuration, meaningful appeal, community audit access, data portability, policy transparency, participatory standard-setting, vendor switching costs, and local override mechanisms.
- 02Compare centralized vendor-controlled AI deployments with community-governed, institutionally configurable, or open systems.
- 03Build governance case studies for churches, Christian schools, charities, denominational bodies, interfaith nonprofits, and family-facing tools.
- 04Produce a benchmark or checklist for whether communities can shape, contest, or exit AI systems that affect them.
Needed controls
What must constrain the study
- 01Avoid assuming local control is always safer than centralized safeguards.
- 02Include small institutions that lack technical staff.
- 03Distinguish theological authority, product governance, data governance, and operational configuration.
- 04Account for security, privacy, and abuse-prevention constraints on local override.
- 05Avoid treating subsidiarity as unchecked local power when local leaders or institutions may be conflicted, coercive, or abusive.
Relationship to existing work
This complements FID-020 community co-design and FID-031 church governance by measuring structural power, exit rights, audit access, and local agency in the AI systems that communities procure or inherit.
Expected outputs
Artifacts the work should produce
- 01Subsidiarity benchmark for faith-facing AI governance.
- 02Subsidiarity scorecard for faith-facing AI procurement.
- 03Community-agency checklist for procurement and deployment.
- 04Case-study framework for centralized vs locally governed AI systems.
- 05Field brief on power concentration in faith-facing AI.
Open questions
Uncertainties the protocol must resolve
- 01Which AI governance decisions should be local, shared, vendor-controlled, or externally regulated?
- 02What minimum audit and appeal rights should faith communities require?
- 03How can small institutions gain agency without taking on unrealistic technical burdens?
Related calls
Continue through this research area
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Open question
Open work
Primary need: AI governance, institutional agency, community oversight, platform accountability
- Review subsidiarity indicators and governance scenarios.
- Contribute case studies from churches, schools, nonprofits, and platform deployments.
- Build practical measures for exit rights, audit access, and local override.
- Connect this work to AI governance, civic technology, and ecclesial polity expertise.