AI Governance for Africa > Part 3
This is Part 3 of our toolkit series on AI Governance for Africa. It explores options to build an advocacy strategy in pursuit of AI governance.
Part 1 of this toolkit gave an overview of AI governance principles and emerging international standards and frameworks on AI governance. Part 2 detailed the state of AI regulation in Africa. In Part 3, we look at possible approaches for advocacy towards better AI governance in Africa, touching on key questions and strategic tools.
Parts 1 and 2 of this toolkit paint a potentially bleak picture: while there is a growing appreciation of the urgent need for safeguards and protections for human rights in the use of AI, policymakers across the world are struggling to catch up to the issue – and African countries are among the furthest behind. But a more optimistic reading of the picture is also possible: yes, there is an urgent need for rights-based interventions, but by the same token this is the perfect time for civil society advocates to begin to deepen discussions on rights-based approaches to AI governance.
The following pages explore a series of key questions for the design of advocacy strategies on AI governance, particularly in African contexts.
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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.
