Continental Artificial Intelligence Strategy

Claims that cite this source · 4

1. Source assertion· confidence high· passage checked

   The African Union treats Africa’s lack of compute, and reliance on AI and data developed elsewhere, as a structural barrier and a risk to sovereignty.

   Used in: Compute, Data, language resources, and data labor, Concentration of power

2. Interpretation· confidence high· passage checked

   Organisational definitions aim governance at strategy, law and ethics principles. Broad sharing of benefits appears instead in intergovernmental and Global South framings: the UN advisory body’s “leave no one behind”, the African Union’s inclusion and African agendas, and the Montevideo declaration’s inclusion and equitable access.

3. Interpretation· confidence medium· passage checked

   Adaptability is common: the OECD, the UN advisory body, Japan, Kenya, the African Union and the World Bank all expect governance to be agile or regularly revised. Acting before arrangements set is rarer. Dafoe urges embedding principles while the stakes are relatively low, and Ojanen et al. draw on Guston’s anticipatory governance (“while effective intervention is still possible”), but none of the definitions compared here builds that timing into the definition of AI governance itself. This is the clause in which AIGovSpec departs most from them.

4. Interpretation· confidence high· passage checked

   Global South documents tie governance to development, inclusion and the room to make national choices: the African Union to inclusion and African agendas, the Montevideo declaration to regional context and each country’s policy space, ECLAC to the state’s capacity to steer AI towards development, and the UN resolution to closing digital divides.