Research & Insights
Research papers on underrepresentation of Africans in AI, bias in AI systems, and the implications for African users and contexts.
The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa
arXiv 2024
Study exploring fairness in AI within African healthcare, highlighting how colonial history and country of origin contribute to biases in AI systems.
AfriStereo: A Culturally Grounded Dataset for Evaluating Stereotypical Bias in Large Language Models
arXiv 2024
Introduces AfriStereo, a dataset to assess stereotypes in AI models within African contexts, revealing significant biases concerning age, profession, and gender.
AI Generates Covertly Racist Decisions About People Based on Their Dialect
Nature 2024
Research demonstrating that language models maintain covert racial prejudice against African Americans, triggered by dialect features alone.
Racial Bias in AI-Mediated Psychiatric Diagnosis and Treatment
Nature Digital Medicine 2025
Study comparing four large language models, finding racial bias in AI-mediated psychiatric diagnosis and treatment, highlighting healthcare inequality risks.
Enriching Moral Perspectives on AI: Concepts of Trust amongst Africans
arXiv 2024
Research exploring how professionals and students in Africa conceptualize trust in AI, emphasizing the importance of communal relations and cultural values.
A Cross-Cultural Assessment of Human Ability to Detect LLM-Generated Fake News about South Africa
arXiv 2024
Study investigating how cultural proximity affects detection of AI-generated fake news, comparing South African participants with others, revealing challenges in identifying fabricated content.
The Cultural Cost of AI in Africa's Education Systems
UNESCO
Analysis of how AI tools in African education may erode indigenous values, advocating for AI educational tools that reflect indigenous knowledge systems.
Navigating Algorithm Bias in AI: Ensuring Fairness and Trust in Africa
Frontiers 2024
Perspective on algorithmic bias in AI systems within Africa, advocating for strategies that promote inclusivity and cultural sensitivity.
AI is Biased Against Speakers of African American English, Study Finds
University of Chicago
Study revealing that AI language models exhibit bias against speakers of African American English, attributing negative stereotypes and less prestigious jobs to them.
Bias in the Machine: How Artificial Intelligence Reinforces Inequality for Minority Communities
Research Archive
Paper examining how AI systems can perpetuate and amplify existing social prejudices against racial and ethnic minorities, emphasizing the need for diverse data.
Leveraging AI and Emerging Technologies to Unlock Africa's Potential
Brookings Institution
Article exploring how AI can address challenges in Africa, emphasizing the importance of digital skills, human capital, and local data.
Africa, ChatGPT, and Generative AI Systems: Ethical Benefits, Concerns, and the Need for Governance
MDPI 2024
Article discussing ethical issues surrounding generative AI systems in Africa, emphasizing the need for governance to address bias and ensure cultural sensitivity.