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AI That Works for Everyone
Research on fairness, transparency, and accountability in AI systems deployed across diverse African contexts, ensuring AI benefits all communities equitably.
100%
Internal Adoption
5+
Industry Partners
3
Policy Engagements
Open
Source Framework
AI systems deployed in Africa must work fairly across diverse populations, languages, and contexts. They must be transparent enough to earn trust and accountable enough to correct mistakes. This is the focus of our Responsible AI research.
We develop frameworks, tools, and best practices for building AI systems that are fair, explainable, and aligned with African values and regulatory requirements. Our work spans the full ML lifecycle, from data collection to model deployment and monitoring.
We also engage with policymakers, civil society, and industry to shape responsible AI governance across the continent.
Understanding the unique obstacles we're working to overcome.
AI models can perpetuate or amplify biases against marginalized groups if not carefully designed and tested.
Users and regulators need to understand how AI systems make decisions, especially in high-stakes domains.
Collecting data for AI development must respect user privacy and comply with evolving data protection laws.
When AI systems make mistakes, there must be clear processes for redress and correction.
The methods and techniques we've developed to address these challenges.
Comprehensive testing tools that evaluate model performance across demographic groups before deployment.
Techniques for generating human-understandable explanations for model decisions.
Federated learning and differential privacy approaches that protect user data during model training.
Organizational policies and processes for responsible AI development and deployment.
Measurable outcomes from our research and deployments.
100%
Internal Adoption
All VE.KE AI projects follow our responsible AI framework and undergo fairness testing.
5+
Industry Partners
We've helped 5+ organizations implement responsible AI practices in their ML workflows.
3
Policy Engagements
We've contributed to AI policy development in Kenya, Rwanda, and the African Union.
Open
Source Framework
Our responsible AI toolkit is open source and used by organizations across Africa.
Asante, K., Adeyemi, G., Okonkwo, A.
Mwangi, J., Okonkwo, A., et al.
Open-source tools for fairness testing, explainability, and responsible AI development.
Partners:
Partnership on AI, Mozilla Foundation
Supporting governments in developing AI governance frameworks.
Partners:
Kenya ICT Authority, Smart Africa
Dr. Kofi Asante
Research Lead
Dr. Amara Okonkwo
Ethics Advisor
We're always looking for collaborators, partners, and talented researchers to advance this work.