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AI in and for Africa: A Humanistic Perspective explores the convoluted intersection of artificial intelligence with Africa’s unique socio-economic realities. The first of its kind to provide a comprehensive overview of how AI is currently being deployed on the African continent.

 



AI in and for Africa: A Humanistic Perspective explores the convoluted intersection of artificial intelligence with Africa’s unique socio-economic realities. The first of its kind to provide a comprehensive overview of how AI is currently being deployed on the African continent.

Given the existence of significant disparities in Africa related to gender, race, labour, and power, the book argues that the continent requires different AI solutions to its problems, ones that are not founded on technological determinism or exclusively on the adoption of Eurocentric or Western-centric worldviews. It embraces a decolonial approach to exploring and addressing issues such as AI’s diversity crisis, the absence of ethical policies around AI that are tailor-made for Africa, the ever-widening digital divide, and the ongoing practice of dismissing African knowledge systems in the contexts of AI research and education. Although the book suggests a number of humanistic strategies with a view to ensuring that Africa does not appropriate AI in a manner that is skewed in favour of a privileged few, it does not support the notion that the continent should simply opt for a ‘one-size-fits-all’ solution either. Rather, in light of Africa’s rich diversity, the book embraces the need for plurality within different regions’ AI ecosystems. The book advocates that Africa-inclusive AI policies incorporate a relational ethics of care which explicitly challenges how Africa’s challenges are entwined in AI ecosystems. It goes some way to providing actionable AI tenets that can be incorporated into policy documents to suit Africa’s needs.

This book will be of great interest to researchers, students, and readers who wish to critically appraise the different facets of AI in the context of Africa, across many areas that run the gamut from education, gender studies, and linguistics to agriculture, data science, and economics, with especial appeal to scholars in disciplines including anthropology, computer science, philosophy, and sociology, to name a few.

1. Perceiving AI through a Humanistic Lens,
2. Intricate Intersections:
AIs Diversity and Governance Crises,
3. AI Ethics in and for Africa: Some
Preliminary Thoughts,
4. (Mis)perceptions of AI in Africa: Metaphors, Myths,
and Realities.
5. Digital Citizenship in Africa: Contestations and
Innovations in the Context of AI,
6. AI and the Labour Sector in Africa:
Disruptive or Transformative?,
7. Machine Learning, Deep Learning, Text
Mining and Computer Vision in Africa: Deployments and Challenges.
Susan Brokensha is an applied linguist at the University of the Free State, South Africa, and co-convenor of the ethics and governance group located in the Interdisciplinary Centre for Digital Futures (ICDF) at the university.

Eduan Kotzé is Associate Professor and Head of the Department of Computer Science and Informatics at the University of the Free State.

Burgert A. Senekal is a Research Fellow in the Department of Computer Science and Informatics at the University of the Free State.