Standard
Artificial Intelligence in Africa: Challenges and Opportunities. / Arakpogun, Emmanuel Ogiemwonyi
; Elsahn, Ziad; Olan, Femi et al.
The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success. ed. / Allam Hamdan; Aboul Ella Hassanien; Anjum Razzaque; Bahaaeddin Alareeni. Cham: Springer International Publishing, 2021. p. 375-388 (Studies in Computational Intelligence; Vol. 935).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Harvard
Arakpogun, EO
, Elsahn, Z, Olan, F & Elsahn, F 2021,
Artificial Intelligence in Africa: Challenges and Opportunities. in A Hamdan, AE Hassanien, A Razzaque & B Alareeni (eds),
The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success. Studies in Computational Intelligence, vol. 935, Springer International Publishing, Cham, pp. 375-388.
https://doi.org/10.1007/978-3-030-62796-6_22APA
Arakpogun, E. O.
, Elsahn, Z., Olan, F., & Elsahn, F. (2021).
Artificial Intelligence in Africa: Challenges and Opportunities. In A. Hamdan, A. E. Hassanien, A. Razzaque, & B. Alareeni (Eds.),
The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success (pp. 375-388). (Studies in Computational Intelligence; Vol. 935). Springer International Publishing.
https://doi.org/10.1007/978-3-030-62796-6_22Vancouver
Arakpogun EO
, Elsahn Z, Olan F, Elsahn F.
Artificial Intelligence in Africa: Challenges and Opportunities. In Hamdan A, Hassanien AE, Razzaque A, Alareeni B, editors, The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success. Cham: Springer International Publishing. 2021. p. 375-388. (Studies in Computational Intelligence). doi: 10.1007/978-3-030-62796-6_22
Author
Arakpogun, Emmanuel Ogiemwonyi
; Elsahn, Ziad ; Olan, Femi et al. /
Artificial Intelligence in Africa : Challenges and Opportunities. The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success. editor / Allam Hamdan ; Aboul Ella Hassanien ; Anjum Razzaque ; Bahaaeddin Alareeni. Cham : Springer International Publishing, 2021. pp. 375-388 (Studies in Computational Intelligence).
Bibtex
@inbook{bf1e2440a16b499c8644edaa6d6d20d3,
title = "Artificial Intelligence in Africa: Challenges and Opportunities",
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{\textquoteright} 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 {\textquoteleft}copy-and-paste{\textquoteright} 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.",
author = "Arakpogun, {Emmanuel Ogiemwonyi} and Ziad Elsahn and Femi Olan and Farid Elsahn",
year = "2021",
month = feb,
day = "13",
doi = "10.1007/978-3-030-62796-6_22",
language = "English",
isbn = "9783030627966",
series = "Studies in Computational Intelligence",
publisher = "Springer International Publishing",
pages = "375--388",
editor = "Allam Hamdan and Hassanien, {Aboul Ella} and Anjum Razzaque and Bahaaeddin Alareeni",
booktitle = "The Fourth Industrial Revolution",
}
RIS
TY - CHAP
T1 - Artificial Intelligence in Africa
T2 - Challenges and Opportunities
AU - Arakpogun, Emmanuel Ogiemwonyi
AU - Elsahn, Ziad
AU - Olan, Femi
AU - Elsahn, Farid
PY - 2021/2/13
Y1 - 2021/2/13
N2 - 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.
AB - 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.
U2 - 10.1007/978-3-030-62796-6_22
DO - 10.1007/978-3-030-62796-6_22
M3 - Chapter
SN - 9783030627966
T3 - Studies in Computational Intelligence
SP - 375
EP - 388
BT - The Fourth Industrial Revolution
A2 - Hamdan, Allam
A2 - Hassanien, Aboul Ella
A2 - Razzaque, Anjum
A2 - Alareeni, Bahaaeddin
PB - Springer International Publishing
CY - Cham
ER -
