AI Governance for Africa > Part 3 > Section 5
In designing an advocacy strategy for AI regulation, a key step is to choose your policy priorities: to decide what features your desired regulation or legal framework should have.
This process can draw on the emerging best-practice frameworks on AI governance, such as the UNESCO Recommendation[1], and include tailored aspects for your unique local context.
These priorities can inform a test or benchmark against which any future proposed regulation can be measured.
As an exercise, use the table below to map out the key features you want in any future AI regulation. Feel free to draw on some of the trends and themes outlined in Part 2 of this toolkit or incorporate your own.
Once you have drawn together a vision of the AI governance framework you want, a key question for the advocacy strategy:
Are there any opportunities to pursue a ‘quick win’ on AI regulation through sectoral rules or issue-specific laws? If not, what steps do you need to take to move towards comprehensive regulation?
Explore the rest of the toolkit
Part 1: Introduction to AI Governance
Part 1 gives an overview of AI governance principles and approaches, and outlines international frameworks, with case studies from the European Union, the United States, and China. It discusses common concerns and themes driving AI governance.
Part 2: Emerging AI Governance in Africa
Part 2 examines existing and emerging AI governance instruments in Southern Africa – in particular, South Africa, Zambia, and Zimbabwe. More broadly, it also outlines continental responses and details existing governing measures in Africa.