Recommended Structure:
Format: Live online (Zoom or equivalent)
Length: One week (three touchpoints)
Capacity: Up to 25 attendees (recommended: bring a cross-functional group)
Online Tools Provided:
Session 1 — Intro + Q&A (≈60 min)
Introduce a complete policy approach and the building blocks of implementation
Session 2 — Office Hour / Open Lab (≈60 min)
Workshop drafting questions, governance choices, and local constraints
Session 3 — Follow-up Discussion + Reflections (≈60 min)
Align on next steps, ownership, and a drafting + review workflow
Participants learn how to develop a complete AI policy approach—scope, governance, operational practices, and ethical considerations—and translate it into clear policy language and implementation plans. The offering covers privacy expectations, transparency norms, equity considerations, sustainability questions, and governance patterns for continuous improvement. By the end, teams have templates, drafting workflows, and review checklists to accelerate a policy effort.
Who it's for
- Leadership teams and managers responsible for policy decisions
- Staff leading AI tool evaluation, procurement, or implementation
- Cross-functional working groups drafting guidelines or governance
What you'll learn
- How to define policy scope and governance (who decides what, and how)
- Operational practices that make policy actionable (not just aspirational)
- Privacy expectations and data-handling norms for public institutions
- Transparency, equity, and sustainability considerations you can operationalize
- Governance patterns for continuous review and improvement
Leave with
- Policy templates and drafting workflows to accelerate your effort
- Review checklists for privacy, transparency, equity, and sustainability
- A practical implementation plan outline (roles, timeline, and review cadence)