How to build a multi-jurisdiction AI compliance strategy
A global organisation does not comply with AI laws one at a time. It builds one governance programme and maps it to many regimes — the practical skill Domain II builds toward.
Why this matters for the AIGP exam
Capstone scenarios describe an organisation facing several regimes at once and ask what a governance professional does first, next and continuously. The sequence below is the answer pattern.
The essentials
- Start from an AI inventory. You cannot scope obligations for systems you have not catalogued: what exists, what it does, where it runs, whose data it touches.
- Map roles per system per jurisdiction. The same company can be a provider in one market and a deployer in another; obligations follow the role, so the mapping has to be per system, not per company.
- Set a highest-common-denominator baseline. Building to the strictest applicable regime — usually the EU AI Act for high-risk uses — and treating other regimes as deltas is cheaper than maintaining parallel compliance programmes.
- Run gap analysis for local specifics the baseline does not cover: Korea's labelling and representative duties, US state notice requirements, sector rules.
- Monitor for change. AI law is moving; regulatory-watch responsibilities, review cadences and update triggers belong inside the programme, not outside it.
What the exam asks
Order the steps correctly (inventory before baseline before gaps), and pick the baseline-plus-deltas approach over jurisdiction-by-jurisdiction duplication.
Going deeper
This page is the condensed version. The full topic — with the detail above expanded and practice questions attached — is in the app, inside Domain II. Domain I, a quarter of the course, is free to try first.
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