剖析非洲撒哈拉以南地区AI发展不均，提出包容性解决方案
Bridging the AI divide in sub-Saharan Africa: Challenges and opportunities for inclusivity
- 基于2024年政府AI准备度指数，评估顶级非洲国家的AI readiness
- Mauritius与南非领先（53.94、52.91），赞比亚与乌干达落后（42.58、43.32）
- 建议加强本地化AI教育、人才计划与跨国合作
非洲撒哈拉以南地区人工智能（AI）数字鸿沟显著，因基础设施、教育和政策支持差异导致AI获取、采用与开发不均。本研究利用2024年政府AI准备度指数，分析该地区主要国家的AI准备程度，并考察推动包容性的AI举措。比较分析显示各国间存在明显差距，毛里求斯（53.94）和南非（52.91）领先，而赞比亚（42.58）和乌干达（43.32）相对滞后。四分位分析表明，高准备度集中在少数国家，反映发展不平衡。研究还发现，AI进展与人均GDP无严格相关性，如卢旺达和乌干达即为例证。通过多个国家的案例研究，揭示了人才培养项目、研究网络与政策干预等关键策略对促进包容性的作用。研究最后提出建议：投资AI教育、开发本地化解决方案、加强跨国协作，以缩小非洲撒哈拉以南地区的AI数字鸿沟。
原文摘要 · Abstract (English)
The artificial intelligence (AI) digital divide in sub-Saharan Africa (SSA) presents significant disparities in AI access, adoption, and development due to varying levels of infrastructure, education, and policy support. This study investigates the extent of AI readiness among the top SSA countries using the 2024 Government AI Readiness Index, alongside an analysis of AI initiatives to foster inclusivity. A comparative analysis of AI readiness scores highlights disparities across nations, with Mauritius (53.94) and South Africa (52.91) leading, while Zambia (42.58) and Uganda (43.32) lag. Quartile analysis reveals a concentration of AI preparedness among a few nations, suggesting uneven AI development. The study further examines the relationship between AI readiness and economic indicators, identifying instances where AI progress does not strictly correlate with Gross Domestic Product per capita, as seen in Rwanda and Uganda. Using case studies of AI initiatives across SSA, this research contextualises quantitative findings, identifying key strategies contributing to AI inclusivity, including talent development programs, research networks, and policy interventions. The study concludes with recommendations to bridge the AI digital divide, emphasising investments in AI education, localised AI solutions, and cross-country collaborations to accelerate AI adoption in SSA.
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