Citizen AI Governance Framework
A public-interest framework for understanding how everyday people can learn about, question, and shape the role of artificial intelligence in society.
Why This Framework Exists
Artificial intelligence increasingly influences decisions about work, health, finance, information, and opportunity. Yet most people are treated as passive users of systems they did not design and cannot question. The Citizen AI Governance Framework exists to change that dynamic. It reframes AI governance as an ongoing civic process, not a technical privilege.
This framework makes one idea clear: AI works in the public interest only when people remain actively involved throughout its lifecycle.
The Core Principle: People Stay in Control
At the center of the framework is a simple but powerful principle: people, not algorithms, must remain the final authority. Human judgment, values, and accountability cannot be automated away.
Human-in-the-Loop does not mean slowing innovation. It means ensuring that speed, scale, and automation serve human goals rather than override them.
Why the Framework Matters
Unlike linear checklists or one-time audits, the Citizen AI Governance Framework emphasizes continuity. As AI systems evolve, so must public understanding, oversight, and participation.
This framework turns everyday actions—learning, questioning, organizing—into long-term societal impact. It empowers citizens not just to react to AI, but to help guide its direction.
Who This Framework Is For
The Citizen AI Governance Framework is designed to be accessible, adaptable, and actionable across cultures and contexts.
Policy and Governance Mapping
How citizen participation connects to real AI oversight mechanisms.
Individual Understanding
| Loop Stage | What It Enables | Policy / Practice Examples |
|---|---|---|
| Learn | AI awareness | Public literacy programs, transparency notices |
| Navigate | Safer usage | Consent controls, opt-out mechanisms |
| Question | Critical review | Explainability, right to explanation |
Collective Oversight
| Loop Stage | What It Enables | Policy / Practice Examples |
|---|---|---|
| Contest | Error correction | Appeals, human review rights |
| Organize | Collective voice | Civil society coalitions, watchdogs |
| Advocate | System change | Public consultations, regulation input |
Public Impact
| Loop Stage | What It Enables | Policy / Practice Examples |
|---|---|---|
| Influence | Norm setting | Standards bodies, ethics frameworks |
| Reinforce | Sustained trust | Audits, monitoring, education loops |
AI governance is not a one-time decision or a technical checklist. It is an ongoing civic process that requires informed people, collective oversight, and continuous reinforcement.
Join the call to shape a world you control.
Learn. Question. Shape how AI affects our world.
Inspired by global public-interest frameworks and community voices from around the world.