Current 2026 outline
I. Understanding the foundations of AI governance
This page maps our teaching modules to the current published knowledge area. The module numbers are our study sequence, not IAPP domain names.
- What is AIModule 1: Foundations of AI, BoK I.A
- Why AI needs a comprehensive governance approachModule 1: Foundations of AI, BoK I.A
- The intelligence ladder: ANI to ASIModule 1: Foundations of AI, BoK I.A
- OECD Framework for the Classification of AI SystemsModule 1: Foundations of AI, BoK I.A
- Tech megatrends and AIModule 1: Foundations of AI, BoK I.A
- Use cases and benefitsModule 1: Foundations of AI, BoK I.A
- Four building-block termsModule 1: Foundations of AI, BoK I.A
- What AI governance actually isModule 3: Governance & Risk Management, BoK I.A
- The four roles: developers, providers, deployers, usersModule 3: Governance & Risk Management, BoK I.B
- Tailoring governance: six differentiatorsModule 3: Governance & Risk Management, BoK I.B
- Life cycle policies and the use case assessmentModule 3: Governance & Risk Management, BoK I.C
- Governance structure: build it, then pick a modelModule 3: Governance & Risk Management, BoK I.A
- Stakeholders: who sits at the tableModule 3: Governance & Risk Management, BoK I.B
- Winning leadership supportModule 3: Governance & Risk Management, BoK I.A
- Training, awareness and AI literacyModule 3: Governance & Risk Management, BoK I.B
- Culture and operationalising responsible AIModule 3: Governance & Risk Management, BoK I.A
- Adapting existing policies for AIModule 7: Governing AI Deployment, BoK I.C
- Third-party products and riskModule 7: Governing AI Deployment, BoK I.C