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How to read the charter to draft an internal AI policy with AI Charter

Use the charter sections as a checklist when drafting a company's own AI governance policy.

Who it is forA policy lead or legal reviewer at an organization that builds or uses AI models and needs a governance starting point.

The problemWriting an AI governance policy from nothing takes time, and it is easy to miss topics like disclosure and accountability.

The outcomeA list of charter topics mapped to the organization's own policy sections, with gaps marked for the internal team to fill.

What you need first

  • Node.js and npm to run the site locally
  • Git and a GitHub account to submit a pull request
  • Model details ready for the certify form: company, version, status, training sources, hazard categories, and unintended consequences

Steps

  1. Open the live site at https://mrtinkz.github.io/ai-charter/ and go to /charter.
  2. Read each section: Access & Equity, Innovation & Freedom, Governance & Disclosure, Accountability & Safety, Infrastructure & Data Centers, and Global & Historical.
  3. List the principles in each section that match your organization's current policy.
  4. Mark the principles with no matching policy as gaps for the internal review.

Prompt for your agent

Using the Universal AI Charter at https://mrtinkz.github.io/ai-charter/charter, compare its six sections against this policy document: <policy file>. Expected output: a table of charter principles marked as covered or missing in the policy. Verify that each principle you cite appears on the charter page.

Caveat. The charter is described as a living document that is revised over time, so a mapping done today may not match a later version.

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