Policy Case Proposal
Propose new policy questions and research/experiment plans.
Participate · Open source
Propose policy questions and research methods and create them together.
AIPOL is an open-source R&D project that proposes and reviews cases, methodologies, code, and knowledge via Pull Request.
Methodology Review
Critique and improve AI roles, human approval, evaluation, and safeguards.
Tool Development
Develop research engines, online participation, automation bots, and accessibility.
Knowledge Sharing
Add official sources, global trends, translations, reproducible results, and failures.
Choose your path
Which kind of participation are you looking for?
Open-source contribution and event survey participation use separate paths.
Contribute to research and development
Propose policy cases, evidence, methods, code, and translations through branches and Pull Requests.
Current status: limited to invited collaborators while the repository is private.
Take part in an event survey
Preregistered participants use the mobile survey screen when instructed by the event operator.
Current status: production screen online; survey round still closed.
Open mobile survey screen →Research team and operators
The admin interface controls event data and is not published as an unrestricted public link.
Current status: personal operator accounts and an editable event draft are ready; access is shared privately.
Pull request workflow
From Proposal to Publication
Even automatically generated content undergoes the same review process.
Issue or Proposal
Explain the problem, target, rationale, and scope of disclosure.
Work Branch
Separate code, documents, and case data during creation.
Pull Request
Submit change rationale, verification results, and limitations together.
Human Review
Review facts, methodology, security, and expression.
Merge & Publish
Reflect only approved changes on the site and RSS.
Proposal checklist
Information required for policy case PR
Verify research purpose and responsibility structure before implementation.
Research Question
- What policy development problem does this address?
- Who will use the results?
- Why AI is Needed
Review Structure
- Stages Handled by AI
- Points of Human Approval
- Methods for Verifying Evidence, Errors, and Bias
Disclosure Plan
- Reproducible Code and Records
- Personal Information and Copyright Boundaries
- Scope of Disclosure for Failures and Limitations
Preparing to Transition Repository to Public
The current GitHub repository is private. After reviewing sensitive information in the code and history, transitioning to public will activate the path for external PR participation.