Show HN: AI Council Toolkit – open-source playbook for AI governance
The AI Council Toolkit is an open-source playbook designed to assist organizations in establishing and maintaining internal AI governance councils. It provides practical templates and governance patterns that can be implemented immediately. The toolkit emphasizes a continuous governance cycle that adapts as systems evolve.
- ▪The toolkit outlines a six-stage AI governance lifecycle: Intake, Triage, Review, Approve, Monitor, and Refresh.
- ▪It is aimed at various roles including CIOs, legal compliance officers, and product engineers.
- ▪The toolkit includes templates for governance artifacts and standards from recognized frameworks.
Opening excerpt (first ~120 words) tap to expand
AI Council ToolkitAn open, implementation-grade playbook for building, running, and sustaining an internal AI Council. Practical templates, governance patterns, and operating models you can use today.Get StartedBrowse the ToolkitHow It All Fits TogetherGovernance is a continuous loop. Every use case moves through the same six stages — and the cycle repeats as systems change. Select any stage to jump in.AI governance lifecycle: Intake, Triage, Review, Approve, Monitor, Refresh — a continuous loop where Refresh feeds back to Intake.AI GovernanceLifecycleIntakeRegister the use caseTriageRisk-tier and routeReviewImpact & assuranceApproveDecide with conditionsMonitorWatch in productionRefreshRe-tier & learn1IntakeRegister the use case2TriageRisk-tier and route3ReviewImpact &…
Excerpt limited to ~120 words for fair-use compliance. The full article is at AI Council Toolkit.