SOURCE-LINKED INTELLIGENCE
IRIS Africa: Intelligent and Responsible Innovation with GenAI for Societal impact
IRIS Africa: Intelligent and Responsible Innovation with GenAI for Societal impact The IRIS Africa project aims to bridge the gap in Generative AI (GenAI) adoption across Africa, focusing on empowering rural populations, women, and youth through tailored AI solutions in agriculture and healthcare. By developing context-specific Large Language Models (LLMs) and risk-classification algorithms, IRIS will enhance local capacities in addressing challenges such as food insecurity and limited healthcare access, which are exacerbated by climate change and socio-economic barriers. The project will leverage the existing EU-based LLM models MINERVA and BABELNET and adapt them to the African context through co-design with local communities, ensuring linguistic and cultural relevance. The use of these models and a risk classification algorithm will be tested through two key use cases: Continuous Glucose Monitoring (CGM) in Ghana and livestock insurance in Kenya, targeting areas with the highest need for scalable, AI-driven soluti
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1999982
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.