I need a starting point.
Choose your perspective, the concern you want to test, and the time you have. The Review Assistant will recommend one subject and one focused question.
Open Review AssistantPublic-review draft
A practical way to ask what AI systems consume, change, protect, and return before public-benefit claims are accepted.
Choose a subject you know, test one claim against real experience, and leave one focused contribution. No GitHub account is required.
Public review only. This is not a certification, endorsement, petition, partnership request, or claim of adoption.
Current status
The drafts are public so students, workers, communities, practitioners, agencies, foundations, and institutions can identify what is missing before broader outreach.
Choose your way in
How public review works
The site is organized around a simple contribution flow, not a requirement to read every document.
Start with one subject or one concern you understand.
Ask what could fail, who is affected, and what proof is missing.
Submit one specific revision, safeguard, evidence threshold, or no-go condition.
Feedback is reviewed against the public source record and used to improve later drafts.
Why this work exists
AI decisions increasingly shape learning, work, public services, infrastructure, and local resources. Broad promises are not enough when the costs and benefits fall unevenly.
Common Ground Standard is being developed as a shared public-review framework for asking better questions before systems scale: What changes? Who decides? What must be protected? What evidence remains public? What value returns to affected people?
Read the public review briefReading, commenting, funding, or participating in review does not imply certification, partnership, adoption, membership, or approval of Common Ground Standard, its steward, or any organization referenced in the drafts.