Design Ethical AI Creative Tools Built for African Creators

Generative AI tools are reshaping creative work globally. But when a Nigerian graphic designer asks an AI to generate images of Lagos street life, or a Yoruba-language writer asks for grammar assistance, the results are often inaccurate, stereotyped, or simply wrong. The training data deficit is a structural problem with immediate consequences for African creative professionals trying to use these tools competitively. Your challenge is to design an AI-assisted creative tool — for image generation, music production, writing, or design — that is specifically built and trained to serve Nigerian or West African creative professionals. You must address the training data problem explicitly: where does your African-relevant data come from, and how is it curated ethically? Submit a product design document (max 12 pages) including: the creative task your tool addresses, your dataset sourcing and curation approach, how bias is reduced, the tool's interface design, a plan for ongoing model improvement, and a monetisation model that keeps it accessible to independent Nigerian creatives. Judging criteria: 35% approach to African-relevant training data, 30% product design quality, 20% ethical framework for data sourcing, 15% monetisation model.