Summary of Ai Literacy in Low-resource Languages:insights From Creating Ai in Yoruba Videos, by Wuraola Oyewusi
AI Literacy in Low-Resource Languages:Insights from creating AI in Yoruba videos
by Wuraola Oyewusi
First submitted to arxiv on: 5 Mar 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This case study bridges the gap for low-resource languages like Yoruba by creating and distributing AI videos through the “this http URL” project. The project developed 26 videos covering foundational to advanced AI concepts using storytelling and accessible explanations, leveraging a cost-effective methodology. These videos were 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. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study makes AI literacy content in low-resource languages possible by creating videos that explain AI concepts in a way that’s easy to understand. The project created 26 videos covering different levels of AI knowledge and shared them on YouTube, LinkedIn, and Twitter. People from many countries watched the videos, showing that it’s possible to reach a global audience. |
