Course 4: Writing AI Governance Policies
Turn governance principles into policies your organisation will actually use.
Most AI governance fails at the policy stage. Organisations write high-level principles that sound impressive in board presentations—then watch them gather digital dust because no one knows how to follow them.
This course closes that gap. You'll create five core governance documents using proven frameworks - policies people can actually follow, apply, and enforce.
Course 4 teaches you to structure AI governance policies, define clear decision boundaries, and create governance artefacts that support consistent, defensible decision across your organisation.
You'll learn waht separates policies that change behaviour from those that get ignored - and how to write documentation that business leaders, legal teams and practitioners can all use.
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Where This Course Fits
Course 1 - 3 gave you the understanding: why governance matters, how to organise your approach, and where to embed controls across the AI lifecycle.
Course 4 turns that knowledge into five governance documents you can take back to your organisation and implement.
Course 4 turns that knowledge into five governance documents you can take back to your organisation and implement.
For:
Governance, legal, risk, compliance, and leadership professionals involved in AI policy
Inclusions:
6 Topics
53 Activities
5 Templates
Time:
6.4 hours
(52 bite-size videos)
Certification Prep:
AIGP Domain I.A, I.B
AIGP Domain III.A
Your Guide
James Kavanagh
What You'll Learn
Translate governance foundations into policies, decision frameworks and artefacts that guide AI use in practice.
Design governance-ready AI policies for practical use
Structure AI governance, risk and use policies that are actionable, auditable and aligned to how your organisations actually operates.
Define decision boundaries for your organisation's AI use
Articulate what AI can be used for, under what conditions, and with whose approval, reducing ambiguity and the risk that comes with inconsistent decisions.
Connect principles, mechanisms and policy
Align your policies to the governance mechanisms from Course 3, so intent, operational controls and formal documentation reinforce each other.
Build documentation that stands up under scrutiny
The Motivation for the Course
Avoid the Top 5 Mistakes when writing your AI Governance policies
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Course Outline
Your Guide
James Kavanagh
James Kavanagh is a globally recognised leader in AI Governance, known for designing and implementing governance frameworks that make AI safe, secure, and lawful in practice.
At Microsoft, he led the deployment of multiple Azure cloud regions worldwide, building governance mechanisms that scaled from infrastructure to security certification. At Amazon, he created and led the company’s first Responsible AI Governance Program, achieving one of the world’s first ISO 42001 certifications.
Today, as Founder and CEO of AI Career Pro, James helps professionals translate their existing experience into purposeful and rewarding roles in AI governance. He writes frequently to share his experiences and insights at blog.aicareer.pro.
He also leads the creation of Hooman, a platform that employs AI to help govern AI at scale through adaptive human oversight. Within the development lifecycle of Hooman, James and his team are testing every principle and framework taught in these courses in live, real-world systems.
That’s the foundation of his philosophy: “We teach what we build, and we build what we teach.” Every course, case study, and tool in the AI Governance Foundation Program is grounded in real implementation experience - giving you access to the same methods used by leading organisations to govern AI safely, securely and lawfully.
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