Community-based AI Governance
Who should decide how AI behaves in our communities?
AI rules decided by companies
AI policy should not be a terms-of-service footnote.
Model behavior affects classrooms, forums, and civic spaces. Community-based AI governance gives those spaces a real say in how assistance works among them.
Why this matters
A community forum enables an AI moderator tuned for engagement. Members wanted safety and nuance. They never got a vote; the vendor shipped a default.
- Corporate AI policy monopoly
- Local values ignored
- No participatory override
- One global default for plural contexts
Today's challenges
- Vendor-set safety policies
- No community review boards
- Opaque model updates
- Weak local configuration
Why today's Web struggles
AI governance is treated as a corporate risk function. Platforms lack durable mechanisms for communities to author, audit, and revise AI behavior in their contexts.
Communities have no voice
Imagine instead
Communities publish AI charters, review changes, and compose governance modules that travel with the group.
- Participatory AI policy
- Context-specific behavior constraints
- Transparent change logs communities can contest
Communities shape AI behavior
Why this matters to everyone
- Communities
Align AI with local norms and purposes.
- Educators
Govern classroom AI with staff and students.
- Governments
Enable plural oversight without centralizing culture.
- Developers
Expose hooks for community policy layers.
Meta-Layer capabilities
- Community Governance
- AI Accountability
- AI Containment
- Meta-Communities
- Consent
Real-world examples
- Online forums
Member-led AI moderation charters.
- Schools
Shared AI use agreements.
- Municipal services
Public review of civic AI agents.
- Research labs
Consortium rules for model use.
Join the challenge
Choose how you'd like to contribute.