This course empowers African women journalists, editors, and newsroom technologists to move from AI consumers to architects of culturally grounded tools. Across seven hands-on modules, participants critically audit Western‑centric bias, curate ethical local datasets, adapt LLMs for low‑resource languages, and build human‑in‑the‑loop workflows. Using no‑code platforms like Langflow, this course is designed for anyone with an aficionado interest in prototyping AI agents for real newsroom challenges—from content moderation to multilingual aggregation. The course culminates in a blueprint for digitally sovereign, African‑centric AI tools that preserve indigenous knowledge and transform how journalism serves communities.
Curriculum
- 6 Sections
- 7 Lessons
- 5 Weeks
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- Module 1Key topics in this module include: Introduction to Generative AI in Journalism, Recognising the cultural bias in AI, Geopolitics of training data in mainstream AI - Captcha, Addressing Sexism - Stereotypes in word embeddings and Core AI Technologies - Explainable AI (XAI)2
- Module 2Key topics in this module include: Ethical data curation, Introduction to FAIR and CARE principles and the value it provides to data and FAIRness and CAREness application for local newsrooms1
- Module 3Key topics in this module include: Understanding and training LLM in low resourced setting using low or no-code approach, Building culturally relevant models for image recognition and translation.1
- Module 4Key topics in this module include: Understanding the concept of Bias-Variance Tradeoff, Designing human‑in‑the‑loop workflows to ensure cultural accuracy in AI‑assisted journalism.1
- Module 5Key topics in this module include: Understanding API? Using OSINT techniques to flag suspicious content or narratives, Toxic comment moderation and Developing training data, model card, attributes and language for comment scoring engine in locally nuanced content safety.1
- Module 6Key topics in this module include: understanding Langflow, understanding RAG, Connecting a chat input component to a language model (LLM), Building no‑code AI agents chatbot news aggregator with Langflow, AgentQL API, and RAG and Capstone prototyping of an African‑centric AI tool with an advocacy blueprint1
Requirements
- Basic digital literacy: Ability to browse the web, use email, and navigate cloud platforms.
- A laptop or desktop computer (Windows, Mac, or Linux) with a modern browser (preferably up to date Google Chrome browser) and stable internet connection.
- Curiosity and openness to experiment with AI tools; no prior coding or AI experience is required.
- A Gmail or Google account (for accessing shared labs and cloud tools).
- Willingness to work in English (some modules may involve local languages, but instruction is in English).
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