The World Has Named the Problem We Were Founded to Solve
Published · September 26, 2026 By Dan Haile, Founder & CEO, AgentifyAfro.ai “In English, leading AI speech recognition systems make errors less than 6 percent of the time. In Yoruba, that same system fails more than 60 percent of the time.” That sentence, from the Gates Foundation’s Goalkeepers 2026 report, is the clearest statement of […]
AI for Africa: Opportunity and Risk in the Same Technology
Published · September 6, 2026 The Paradox Africa’s AI economy is projected to contribute $2.9 trillion by 2030. Financial institutions, government agencies, healthcare systems, and agricultural enterprises are deploying AI at scale. The opportunity is real and structural. So is the problem. The same AI systems driving this growth systematically misrepresent, exclude, and harm African […]
AfroEval Scorecard: Your AI Deployment Readiness Checklist for African Contexts
Published · August 11, 2026 Your AI model scores well on standard English benchmarks. Impressive. Until it hits production in Lagos, Nairobi, Ethiopia, or Accra. On IrokoBench, a published benchmark, the same questions took GPT-4o from 86.9 in English to 59.0 across African languages. This is not a failure of your model. It is a […]
When Institutions Deploy AI Without Knowing If It Works for Their Users
Published · July 1, 2026 The Benchmark Score Is Not the Deployment Score Most AI procurement decisions rest on a single question: did the model pass the benchmark? The answer is almost always yes. The model scored well on GLUE, MMLU, or a vendor-supplied accuracy report, and the procurement committee approved the deployment. What the […]
The Benchmark Problem: How Aggregate AI Accuracy Scores Hide the Gaps That Harm African Users
When an AI vendor hands you a benchmark score, they are handing you one number. That number is usually high enough to feel reassuring. It is almost never the number that matters. Published research shows the pattern. On IrokoBench (Adelani et al., NAACL 2025), where the same questions were human-translated into 17 African languages, GPT-4o, […]
