Artificial Intelligence (AI) requires new ways of evaluating national technology use and strategy for African nations. We conduct a survey of existing 'readiness' assessments both for general digital adoption and for AI policy in particular. We conclude that existing global readiness assessments do not fully capture African states' progress in AI readiness and lay the groundwork for how assessments can be better used for the African context. We consider the extent to which these indicators map to the African context and what these indicators miss in capturing African states' on-the-ground work in meeting AI capability. Through case studies of four African nations of diverse geographic and economic dimensions, we identify nuances missed by global assessments and offer high-level policy considerations for how states can best improve their AI readiness standards and prepare their societies to capture the benefits of AI.

人工智能对非洲国家的技术使用和战略评估需要新的方法。通过对现有的数字采纳和特定人工智能政策的'准备情况'评估进行调查，我们得出结论：现有的全球准备情况评估并未完全捕捉到非洲国家在人工智能准备方面的进展，并为如何更好地利用评估来适应非洲环境奠定基础。通过对四个非洲国家（涵盖地理和经济维度）的案例研究，我们发现全球评估忽略的一些细微差别，并提出了高层次的政策考虑，以便国家能够最大程度地提高其人工智能准备标准，并使本国社会能够获得人工智能的益处。

非洲人工智能政策发展案例研究