To effectively navigate the AI revolution, AI literacy is crucial. However,
content predominantly exists in dominant languages, creating a gap for
low-resource languages like Yoruba (41 million native speakers). This case
study explores bridging this gap by creating and distributing AI videos in
Yoruba.The project developed 26 videos covering foundational, intermediate, and
advanced AI concepts, leveraging storytelling and accessible explanations.
These videos were created using a cost-effective methodology and distributed
across YouTube, LinkedIn, and Twitter, reaching an estimated global audience of
22 countries. Analysis of YouTube reveals insights into viewing patterns, with
the 25-44 age group contributing the most views. Notably, over half of the
traffic originated from external sources, highlighting the potential of
cross-platform promotion.This study demonstrates the feasibility and impact of
creating AI literacy content in low-resource languages. It emphasizes that
accurate interpretation requires both technical expertise in AI and fluency in
the target language. This work contributes a replicable methodology, a 22-word
Yoruba AI vocabulary, and data-driven insights into audience demographics and
acquisition channel

创建和分发适用于低资源语言的人工智能视频，通过 26 个视频涵盖人工智能的基础、中级和高级概念，以故事叙述和易于理解的解释方法，实现了弥补 AI 素养之间差距的目标。这项研究展示了在低资源语言中创造 AI 素养内容的可行性和影响，并指出准确的解释需要 AI 技术专业知识和目标语言流利程度。