Responsible AI in Africa: Challenges and Opportunities

Abstract

This open access book contributes to the discourse of Responsible Artificial Intelligence (AI) from an African perspective. It is a unique collection that brings together prominent AI scholars to discuss AI ethics from theoretical and practical African perspectives and makes a case for African values, interests, expectations and principles to underpin the design, development and deployment (DDD) of AI in Africa. The book is a first in that it pays attention to the socio-cultural contexts of Responsible AI that is sensitive to African cultures and societies. It makes an important contribution to the global AI ethics discourse that often neglects AI narratives from Africa despite growing evidence of DDD in many domains. Nine original contributions provide useful insights to advance the understanding and implementation of Responsible AI in Africa, including discussions on epistemic injustice of global AI ethics, opportunities and challenges, an examination of AI co-bots and chatbots in an African work space, gender and AI, a consideration of African philosophies such as Ubuntu in the application of AI, African AI policy, and a look towards a future of Responsible AI in Africa.

Citation

Akintoye, S., Eke, D. O., & Wakunuma, K. (Eds.). (2023). Responsible AI in Africa: Challenges and Opportunities. Palgrave Macmillan. https://doi.org/10.1007/978-3-031-08215-3

• Book Type: Edited Book
• Publication Date: 2023
• Deposit Date: Jan 19, 2024
• Publicly Available Date: Jan 19, 2024
• Series Title: Social and Cultural Studies of Robots and AI
• Book Title: Social and Cultural Studies of Robots and AI
• ISBN: 9783031082146
• DOI: https://doi.org/10.1007/978-3-031-08215-3
• Keywords: Artificial Intelligence; AI Ecosystems in Africa; AI ethics; digital culture; SDGs; Sustainable Development Goals; AI policy; ICT infrastructure in Africa; AI governance; Open Access
• Public URL: https://nottingham-repository.worktribe.com/output/29839409
• Publisher URL: https://link.springer.com/book/10.1007/978-3-031-08215-3
• Contract Date: Nov 25, 2022