Artificial intelligence and sustainable development in Africa: A comprehensive review

被引：0
作者：
Mienye, Ibomoiye Domor [1 ]
Sun, Yanxia [2 ]
Ileberi, Emmanuel [2 ]
机构：
[1] Univ Johannesburg, Inst Intelligent Syst, Auckland Pk, ZA-2006 Johannesburg, South Africa
[2] Univ Johannesburg, Dept Elect & Elect Engn Sci, Auckland Pk, ZA-2006 Johannesburg, South Africa
来源：
MACHINE LEARNING WITH APPLICATIONS | 2024年 / 18卷
关键词：
AI; Africa; Deep learning; Machine learning; Sustainable development; SDG; DEVELOPMENT GOALS; FUTURE; CHALLENGES; SYSTEMS; STATE;
D O I：
10.1016/j.mlwa.2024.100591
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Artificial Intelligence (AI) techniques are transforming various sectors and hold significant potential to advance sustainable development in Africa. However, their effective integration is constrained by region-specific challenges, limiting widespread deployment. This study reviews the current state of sustainable development in Africa, highlighting the role AI can play in driving progress across key sectors, including healthcare, agriculture, education, environmental protection, and infrastructure. The paper outlines the challenges hindering AI adoption and presents strategic approaches to address these obstacles, specifically targeting Africa's socioeconomic and environmental needs. In addition, the study proposes a comprehensive framework for integrating AI into Africa's sustainable development efforts, offering tailored AI-driven strategies that align with the continent's unique context. This framework provides a valuable resource for AI researchers, policymakers, and practitioners working towards sustainable development in Africa.
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页数：14
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