Artificial Intelligence Readiness in Africa: Status Quo and Future Research

Artificial Intelligence (AI) technologies have the potential to accelerate economic growth and promote sustainable development in developing countries. Particularly in Africa, the technology is expected to solve societal challenges, leapfrog, and promote sustainable communities. The literature presents examples of AI use cases in Africa to exemplify the opportunities, benefits, challenges, and risks of AI. Also, available reports highlight similar narratives with recommendations to improve the status quo. While such recommendations are essential, assessing what actions have already been implemented toward AI adoption is equally important. Still, more research is needed to showcase a holistic view of efforts taken by African countries to prepare for planning and implementing AI responsibly. This paper bridges the gap by examining the readiness of AI adoption in African countries from the literature using the Technology-Organization-Environment (TOE) framework. Findings reveal the need for further initiatives to realize the positive outcomes of AI technologies. The paper concludes by proposing the research areas that require further exploration from the context of African countries.

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Publication Details

Published
2024-10-01
DOI
https://doi.org/10.1145/3680127.3680199
Citations
2
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.69
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article

Artificial Intelligence Readiness in Africa: Status Quo and Future Research

Soumaya Ben Dhaou, Tupokigwe Isagah
2 citations
AI in Service Interactions
0.69
article

Artificial Intelligence Readiness in Africa: Status Quo and Future Research

Soumaya Ben Dhaou, Tupokigwe Isagah
article en
2 citations

Abstract

Artificial Intelligence (AI) technologies have the potential to accelerate economic growth and promote sustainable development in developing countries. Particularly in Africa, the technology is expected to solve societal challenges, leapfrog, and promote sustainable communities. The literature presents examples of AI use cases in Africa to exemplify the opportunities, benefits, challenges, and risks of AI. Also, available reports highlight similar narratives with recommendations to improve the status quo. While such recommendations are essential, assessing what actions have already been implemented toward AI adoption is equally important. Still, more research is needed to showcase a holistic view of efforts taken by African countries to prepare for planning and implementing AI responsibly. This paper bridges the gap by examining the readiness of AI adoption in African countries from the literature using the Technology-Organization-Environment (TOE) framework. Findings reveal the need for further initiatives to realize the positive outcomes of AI technologies. The paper concludes by proposing the research areas that require further exploration from the context of African countries.

United Nations University (PT)
Openalex Percentile: Top 23%
AI in Service Interactions
0.69
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Artificial Intelligence Readiness in Africa: Status Quo and Future Research — Soumaya Ben Dhaou, Tupokigwe Isagah · (2024) | TGRS Research Map | TGRS