We explore the Cultural Relevance of AI Models and Products by creating Datasets, Tools and Frameworks for Human-Centrered AI Evaluations
Building Culturally Relevant
& Responsible AI with...
Dataset and code
Dataset Curation
Nurtured by local qualitative and quantitative research
Building and open-sourcing locally relevant datasets through quantitative and qualitative research methods.
AI Model Fine-tuning
For specific sectors
Customizing models and AI agents for specific cultural contexts in Health, Education, and Financial inclusion.
Behavioral Research
On the usage of AI tools in Africa
Understanding how LLM and AI tools are perceived and utilized across African communities.
Papers
Ertony BASILWANGO, Oche ANKELI, Dhananjay BALAKRISHNAN, Yann LE BEUX
Deeplearning Indaba 2025 Poster
Building African Stereotypes Datasets For Responsible AI Evaluation (2025)
Oluchi AUDU, Melissah WEYA, Marie Daniella RALAIARINOSY, Oche ANKELI, Dhananjay BALAKRISHNAN Yann LE BEUX
Deeplearning Indaba 2025 Poster