Artificial intelligence in Africa: challenges and opportunities

Arakpogun, Emmanuel, Elsahn, Ziad, Olan, Femi and Elsahn, Farid (2021) Artificial intelligence in Africa: challenges and opportunities. In: The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success. Studies in Computational Intelligence . Springer, Cham, Switzerland, pp. 375-388. ISBN 9783030627980; 9783030627959; 9783030627966

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Official URL: https://doi.org/10.1007/978-3-030-62796-6_22

Abstract

The developments in artificial intelligence (AI) have the potential to disrupt and transform socio-economic activities across industries. While evidence is emerging that businesses and governments across the world are positioning themselves to maximise these potentials, evidence also indicates that countries in the Global North are better prepared to reap the benefits of AI even though a significant number of jobs that could be displaced in the process are in the Global South. Therefore, we posit that countries in the Global South such as those in Africa need to tackle governance issues and lack of institutional capacity to establish the building blocks to allow AI to flourish. It is important to also examine the roles of international communities’ in bridging the technological gaps in Africa by adopting a problem-driven approach where local needs and problems are contextualised into AI policy formulation rather than a blanket ‘copy-and-paste’ practice that has limited the advancement of development policies in Africa. A problem-driven approach would help African countries to formulate robust AI policies that are relevant to their unique circumstances.

Item Type: Book Section
Uncontrolled Keywords: Africa, Artificial intelligence, Challenges, Digital divide, Opportunities
Subjects: G700 Artificial Intelligence
L100 Economics
N100 Business studies
Department: Faculties > Business and Law > Newcastle Business School
Related URLs:
Depositing User: Elena Carlaw
Date Deposited: 14 Aug 2020 11:41
Last Modified: 29 Mar 2022 15:15
URI: http://nrl.northumbria.ac.uk/id/eprint/44088

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