Responsible AI in Africa—Challenges and Opportunities

Chinasa T. Okolo · Kehinde Aruleba · George Obaido

79 citations0/0 files storedSocial and cultural studies of robots and AI

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Ethics and Social Impacts of AI Digitalization, Law, and Regulation Artificial Intelligence Applications

Abstract

Abstract This chapter provides an analysis into the factors that impact the effective adoption and successful implementation of artificial intelligence (AI) technologies in Africa. The study begins by defining the concept of “responsible AI” and what this means specifically for technologies developed and used within Africa. Further sections within the chapter present challenges including digital literacy, lack of local AI talent and governmental barriers that impede. The chapter also goes into an in-depth analysis of the AI startup and research landscape within the African continent, highlighting organisations of interest and concerning trends. ‘Challenges to effective AI adoption and Implementation in Africa’ concludes by envisioning what responsible AI could look like in the African context and provides actionable recommendations for making strides towards this goal.

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References

2021A Survey on Bias and Fairness in Machine Learning 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification 2020Closing the AI accountability gap 2019Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability 2021Where Responsible AI meets Reality 2020Saving Face 2020Lessons from archives 2019Managing Bias in AI

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