Question 1

What is Tech and AI in Yoruba?

Accepted Answer

Tech and AI in Yoruba is a pioneering digital literacy body of work and the most comprehensive AI literacy initiative in the Yoruba language. Created by Wuraola Oyewusi, it teaches artificial intelligence, machine learning, data science, and technology concepts in Yoruba through free educational videos. Since May 2022, it has reached 2.7 million impressions across 22 countries, making it the leading resource for AI education in Yoruba and a pioneer in AI literacy for African languages.

Question 2

Who is the pioneer behind AI in Yoruba education?

Accepted Answer

Wuraola Oyewusi is the pioneer and creator of Tech and AI in Yoruba. She is a Nigerian Data Scientist and AI Researcher based in the United Kingdom, specializing in Natural Language Processing and AI in Healthcare. As a LinkedIn Learning instructor, she has taught over 200,000 learners worldwide. She created the first comprehensive AI literacy program in Yoruba language, establishing herself as a pioneer in making AI education accessible to Yoruba speakers globally.

Question 3

What topics are covered in AI literacy in Yoruba?

Accepted Answer

The AI literacy in Yoruba program covers 47+ topics including: Artificial Intelligence (Ọgbọ́n Àpinlẹ̀rọ), Machine Learning (Ìkẹ́ẹ̀kọ́ ẹ̀rọ), Data Science (Sáyẹ́nsì àkíyèsí), Computer Vision, Natural Language Processing, Neural Networks, Large Language Models, Generative AI, ChatGPT, Deep Learning, Cloud Computing, Cybersecurity, Digital Literacy, Coding, Database Management, Internet basics, E-commerce, Search Engines, and more. Each concept is explained in Yoruba with English subtitles.

Question 4

Is AI literacy in Yoruba language free?

Accepted Answer

Yes, all Tech and AI in Yoruba educational content is completely free and accessible to everyone. The 47+ videos covering 5 hours of AI and technology education in Yoruba language are available on YouTube, LinkedIn, and X (Twitter) at no cost. This free accessibility is core to the mission of promoting AI literacy in Africa and making technology education available to Yoruba speakers worldwide, regardless of economic barriers.

Question 5

How many videos are in the Tech and AI in Yoruba collection?

Accepted Answer

The Tech and AI in Yoruba video library contains 47+ educational videos covering approximately 5 hours of content. Topics range from foundational digital concepts like email and coding to advanced AI topics including Large Language Models, Neural Networks, Generative AI, Machine Learning algorithms, and Data Science. All videos are in Yoruba language with English subtitles, making it the largest collection of AI and technology education content in Yoruba.

Question 6

Why is AI literacy important for Yoruba speakers and Africa?

Accepted Answer

AI literacy in Yoruba language is crucial for bridging the digital divide in Africa and ensuring Yoruba speakers can participate in the AI-driven global economy. It addresses the critical gap in tech education for low-resource languages, promotes cultural preservation through developing technical vocabulary in Yoruba, and empowers over 45 million Yoruba speakers worldwide with skills to navigate the digital world. This pioneering work in AI literacy in Africa demonstrates how technology education can support both cultural preservation and economic empowerment simultaneously.

Question 7

What makes Tech and AI in Yoruba a pioneering initiative?

Accepted Answer

Tech and AI in Yoruba is pioneering as the first and most comprehensive AI literacy program in the Yoruba language. It coins new technical terms in Yoruba for emerging technologies, creates a replicable framework for AI education in low-resource languages, and has achieved remarkable global impact with 2.7 million impressions across 22 countries. The work has been published in academic research, presented at international AI conferences (ICLR), and featured in major media outlets. It serves as a model for AI literacy initiatives in African languages and demonstrates scalable approaches to digital literacy in indigenous languages.

Question 8

How does this support AI literacy in Africa?

Accepted Answer

This initiative supports AI literacy in Africa by providing free, accessible technology education in an African language, demonstrating that AI education doesn't need to be limited to English or other dominant languages. It addresses UNESCO's goal of quality education (SDG 4) and shows how indigenous African languages can be vehicles for modern technical education. The program's success with 2.7 million impressions and reach across 22 countries proves the viability and demand for AI literacy programs in African languages, paving the way for similar initiatives in other African languages like Swahili, Hausa, Zulu, and Amharic.

Question 9

What new Yoruba terms were created for AI and technology?

Accepted Answer

Tech and AI in Yoruba has pioneered new Yoruba terminology for technology concepts including: Ọgbọ́n Àpinlẹ̀rọ (Artificial Intelligence), Ìkẹ́ẹ̀kọ́ ẹ̀rọ (Machine Learning), Sáyẹ́nsì àkíyèsí (Data Science), Ọpọ́n àwárí (Search Engine), Ẹ̀rọ Ayélujára (Internet), Afinipeni (Named Entity Recognition), Asawòràndikíkọ (Optical Character Recognition), and many more. These intuitive terms make complex AI concepts accessible while preserving and modernizing the Yoruba language for the digital age.

Question 10

Who can benefit from AI in Yoruba education?

Accepted Answer

AI in Yoruba education serves two key audiences: Yoruba speakers who want to learn about technology and AI in their native language, and people interested in learning the Yoruba language who also want to gain tech skills. This includes students, professionals transitioning to tech careers, educators, researchers in African languages and AI, diaspora Yoruba communities, and anyone interested in AI literacy in African languages. The program is particularly valuable for those who may struggle with technical English but are fluent in Yoruba.

Question 11

Has this work been academically recognized?

Accepted Answer

Yes, Tech and AI in Yoruba has significant academic recognition. The work has been published in academic research on arXiv (Cornell University) titled 'Tech and AI Literacy in Yoruba: A Scalable Framework for Low-Resource Languages' and presented at the Global AI Cultures Workshop at the International Conference on Learning Representations (ICLR), a leading AI research conference. It has also been featured in major media outlets including The Punch Newspapers, Techpoint Africa, BellaNaija, and Semafor Africa, establishing it as a pioneering model for AI education in indigenous languages.

Question 12

Where can I access Tech and AI in Yoruba videos?

Accepted Answer

All Tech and AI in Yoruba educational videos are freely available on multiple platforms including YouTube, LinkedIn, and X (Twitter). The complete video library of 47+ lessons covering AI literacy, machine learning, data science, and technology in Yoruba language can be accessed at techinyoruba.com. All videos include English subtitles and cover topics from basic digital literacy to advanced AI concepts, making comprehensive AI education in Yoruba accessible to anyone with internet access.

Question 13

What is the difference between Tech in Yoruba and AI in Yoruba?

Accepted Answer

Tech in Yoruba is the comprehensive educational program covering all technology topics in Yoruba language, including general computing (internet, email, databases, cybersecurity), technology careers, and specialized topics in data science and AI. AI in Yoruba specifically refers to the artificial intelligence and machine learning content within the broader Tech in Yoruba initiative. While AI and data science represent approximately 60% of the content, Tech in Yoruba also covers foundational digital literacy, making technology education accessible to Yoruba speakers at all skill levels.

Question 14

How does this contribute to AI in low-resource languages?

Accepted Answer

Tech in Yoruba serves as a pioneering model for AI education in low-resource languages worldwide. With over 45 million Yoruba speakers, this initiative demonstrates that comprehensive AI literacy programs are both viable and impactful in indigenous languages with limited digital resources. The framework addresses critical gaps in AI accessibility for low-resource languages by creating technical vocabulary, developing culturally relevant content, and proving the scalability of technology education beyond dominant languages like English. This work paves the way for similar AI literacy initiatives in other low-resource African languages such as Swahili, Hausa, Igbo, Zulu, and Amharic, and serves as a replicable model globally for languages underserved in technology education.

Question 15

What methodology is used for creating Yoruba tech terminology?

Accepted Answer

The methodology for creating Yoruba tech terminology involves a delicate balance between literal, contextual, and colloquial translation. As both a native Yoruba speaker and AI expert, Wuraola Oyewusi leverages dual expertise to describe concepts in the most authentic words possible, taking advantage of Yoruba's naturally descriptive qualities. The approach includes creating entirely new terminology when no existing words exist, or proposing alternatives as synonyms to established terms. Examples include Ọgbọ́n Àpinlẹ̀rọ (Artificial Intelligence), Ìkẹ́ẹ̀kọ́ ẹ̀rọ (Machine Learning), Sáyẹ́nsì àkíyèsí (Data Science), Ìríran ẹ̀rọ (Computer Vision), and Ọpọ́n àwárí (Search Engines). This innovative linguistic work preserves and modernizes Yoruba language for the digital age.

Question 16

What does Ọgbọ́n Àpinlẹ̀rọ mean and how was it created?

Accepted Answer

Ọgbọ́n Àpinlẹ̀rọ is the Yoruba term for Artificial Intelligence coined through contextual and culturally grounded translation. Breaking down the term: Ọgbọ́n means intelligence or wisdom, while Àpinlẹ̀rọ literally means a version made from scratch or locally made, typically used to connote some form of substitution or artificial creation. Together, Ọgbọ́n Àpinlẹ̀rọ elegantly captures the concept of artificial intelligence in Yoruba, demonstrating how indigenous languages can express complex technological concepts through thoughtful linguistic innovation. This term exemplifies the methodology of creating intuitive technical vocabulary that resonates with Yoruba cultural context while accurately representing modern AI concepts.

Question 17

Who is the target audience for Tech in Yoruba?

Accepted Answer

Tech in Yoruba serves a diverse global audience, with the primary demographic being 25-34 year-olds across LinkedIn, YouTube, and X platforms. The content reaches two key groups: Yoruba speakers seeking technology education in their native language, including those who may struggle with technical English; and people learning Yoruba who want to acquire both language and tech skills simultaneously. The audience includes students, professionals transitioning to tech careers, educators, researchers in African languages and AI, diaspora Yoruba communities globally, and anyone interested in low-resource language technology. Feedback indicates the content successfully demystifies technical concepts while providing language accessibility, serving both technical and non-technical viewers through alternating difficulty levels across the video series.

Question 18

What general computing topics are covered in Tech in Yoruba?

Accepted Answer

Tech in Yoruba covers comprehensive general computing topics including: Internet fundamentals (Ẹ̀rọ Ayélujára), Email systems, Database management, Search Engines (Ọpọ́n àwárí), E-commerce, Cybersecurity, Coding and programming basics, Cloud Computing, Digital Learning, and fundamental computing principles. These foundational topics are taught in Yoruba with English subtitles, making essential digital literacy accessible to Yoruba speakers worldwide. The general computing content provides the foundation for more advanced topics in data science and AI, ensuring learners at all levels can engage with technology education in their native language.

Question 19

How does Tech in Yoruba address the digital divide in Africa?

Accepted Answer

Tech in Yoruba addresses the digital divide in Africa by removing language barriers that prevent millions of indigenous language speakers from accessing technology education. By providing free, comprehensive tech education in Yoruba—an African language spoken by over 45 million people—the initiative ensures that technology literacy is not limited to English speakers. This approach supports digital inclusion across Africa by demonstrating that quality technology education, including advanced AI and data science topics, can be effectively delivered in African languages. The program's success with 2.7 million impressions across 22 countries proves the viability and demand for technology education in low-resource African languages, contributing to bridging the digital divide and promoting digital equity across the continent.

Question 20

What makes the Yoruba language suitable for teaching technology?

Accepted Answer

The Yoruba language possesses naturally descriptive qualities that make it particularly suitable for teaching technology concepts. Its rich linguistic structure allows for the creation of intuitive technical terminology through contextual and colloquial translation. As a tonal language with extensive vocabulary for abstract concepts, Yoruba enables the expression of complex technological ideas in culturally grounded ways. The language's flexibility supports both the creation of entirely new terms (like Ọgbọ́n Àpinlẹ̀rọ for Artificial Intelligence) and the adaptation of existing words to technical contexts. This linguistic richness, combined with Yoruba's status as a living language spoken by over 45 million people globally, makes it an ideal vehicle for technology education and demonstrates how indigenous African languages can effectively communicate modern technical knowledge.

Question 21

What data science and AI topics are covered in Yoruba?

Accepted Answer

Tech in Yoruba covers extensive data science and AI topics, representing approximately 60% of the total content. Topics include: Data Science fundamentals (Sáyẹ́nsì àkíyèsí), Data Analysis and Visualization, Machine Learning (Ìkẹ́ẹ̀kọ́ ẹ̀rọ) including supervised, unsupervised, and reinforcement learning, Computer Vision (Ìríran ẹ̀rọ) and facial recognition, Natural Language Processing including Named Entity Recognition (Afinipeni) and Machine Translation, Artificial Neural Networks and Deep Learning architectures, Generative Adversarial Networks (GANs), Large Language Models and Transformers, Generative AI and tools like ChatGPT and Gemini, Transfer Learning, Clustering algorithms, Embeddings for text representation, Semantic Similarity, Topic Modelling, Optical Character Recognition (Asawòràndikíkọ), Recommender Systems, GPU computing for AI, and practical applications across FinTech, HealthTech, EdTech, and AgriTech sectors.

Question 22

How does Tech in Yoruba support language preservation?

Accepted Answer

Tech in Yoruba actively supports Yoruba language preservation by modernizing the language for the digital age and ensuring its relevance in contemporary technology discourse. By coining new technical terminology (like Ọgbọ́n Àpinlẹ̀rọ, Ìkẹ́ẹ̀kọ́ ẹ̀rọ, Sáyẹ́nsì àkíyèsí), the initiative expands Yoruba vocabulary into emerging technological domains, preventing the language from being sidelined in an increasingly digital world. This work demonstrates that Yoruba is not only viable for traditional cultural contexts but also fully capable of expressing cutting-edge technological concepts. By making technology education accessible in Yoruba, the program encourages younger generations to engage with their indigenous language while learning valuable tech skills, supporting both cultural preservation and economic empowerment. This dual benefit shows how indigenous African languages can thrive in the modern era through intentional linguistic innovation and educational content creation.

Question 23

What is the global impact of Tech in Yoruba?

Accepted Answer

Tech in Yoruba has achieved remarkable global impact since its launch in May 2022, reaching audiences in 22 countries with over 2.7 million impressions across YouTube, LinkedIn, and X platforms. The initiative has been academically recognized through publication on arXiv and presentation at the International Conference on Learning Representations (ICLR), establishing credibility in both educational and research communities. Major media coverage from The Punch Newspapers, Techpoint Africa, BellaNaija, and Semafor Africa has amplified awareness across Africa and globally. The program serves as a pioneering model for technology education in low-resource languages worldwide, inspiring similar initiatives in other indigenous languages. With over 200,000 learners reached through various platforms, Tech in Yoruba demonstrates that comprehensive technology and AI literacy programs in African languages are not only viable but essential for global digital inclusion and represents a scalable framework for addressing the technology education gap in indigenous language communities worldwide.

Question 24

How can Tech in Yoruba be replicated for other low-resource languages?

Accepted Answer

Tech in Yoruba provides a replicable framework for technology education in low-resource languages by demonstrating key principles: leveraging dual expertise in both technology and the target language; creating culturally grounded technical terminology through contextual translation; developing self-contained yet layered content that builds from foundational to advanced topics; alternating difficulty levels to serve both technical and non-technical audiences; utilizing free, accessible platforms (YouTube, LinkedIn, social media) for maximum reach; including subtitles in dominant languages (English) to serve language learners and broader audiences; and documenting the methodology through academic publications. This model addresses UNESCO's Sustainable Development Goal 4 on Quality Education and can be adapted for other low-resource African languages (Swahili, Hausa, Igbo, Zulu, Amharic) and indigenous languages globally. The success with 2.7 million impressions proves the viability and demand for such initiatives, offering a proven blueprint for expanding AI literacy and technology education beyond English and other dominant languages.

Tech in Yoruba

Tech and AI in Yoruba Language

Tech and AI in Yoruba: Video Library

About the Initiative

About the Creator

Academic Publication & Research

Media Features & Recognition

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