AI Literacy in Low-Resource Languages:Insights from creating AI in
  Yoruba videos
Wuraola Oyewusi
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