Key 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)
Key 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 newsrooms
Key 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.
Key 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.
Key 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.
Key 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 blueprint
