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
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.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Artificial intelligence and machine learning in production efficiency enhancement and sustainable development: a comprehensive bibliometric review
    Bitzenis, Aristidis
    Koutsoupias, Nikos
    Nosios, Marios
    FRONTIERS IN SUSTAINABILITY, 2025, 5
  • [2] Artificial intelligence and sustainable development
    Goralski, Margaret A.
    Tan, Tay Keong
    INTERNATIONAL JOURNAL OF MANAGEMENT EDUCATION, 2020, 18 (01):
  • [3] Advances in artificial intelligence for drug delivery and development: A comprehensive review
    Gholap A.D.
    Uddin M.J.
    Faiyazuddin M.
    Omri A.
    Gowri S.
    Khalid M.
    Computers in Biology and Medicine, 2024, 178
  • [4] Adaptive Software Development: A Comprehensive Framework Integrating Artificial Intelligence for Sustainable Evolution
    Soureya, Yaya Gadjama
    Amougou, Ngoumou
    Ngossaha, Justin Moskolai
    Tsakou, Samuel Bowong
    Ndjodo, Marcel Fouda
    INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2025, 22 (02) : 248 - 262
  • [5] Artificial intelligence in endocrinology: a comprehensive review
    Giorgini, F.
    Di Dalmazi, G.
    Diciotti, S.
    JOURNAL OF ENDOCRINOLOGICAL INVESTIGATION, 2024, 47 (05) : 1067 - 1082
  • [6] Artificial Intelligence in Periodontics: A Comprehensive Review
    Parihar, Anuj Singh
    Narang, Sumit
    Tyagi, Sanjeev
    Narang, Anu
    Dwivedi, Shivani
    Katoch, Vartika
    Laddha, Rashmi
    JOURNAL OF PHARMACY AND BIOALLIED SCIENCES, 2024, 16 : S1956 - S1958
  • [7] Artificial intelligence in uveitis: A comprehensive review
    Nakayama, Luis F.
    Ribeiro, Lucas Z.
    Dychiao, Robyn G.
    Zamora, Yuslay F.
    Regatieri, Caio V. S.
    Celi, Leo A.
    Silva, Paolo
    Sobrin, Lucia
    Belfort Jr, Rubens
    SURVEY OF OPHTHALMOLOGY, 2023, 68 (04) : 669 - 677
  • [8] Artificial intelligence in endocrinology: a comprehensive review
    F. Giorgini
    G. Di Dalmazi
    S. Diciotti
    Journal of Endocrinological Investigation, 2024, 47 : 1067 - 1082
  • [9] Explainable artificial intelligence: a comprehensive review
    Minh, Dang
    Wang, H. Xiang
    Li, Y. Fen
    Nguyen, Tan N.
    ARTIFICIAL INTELLIGENCE REVIEW, 2022, 55 (05) : 3503 - 3568
  • [10] Explainable artificial intelligence: a comprehensive review
    Dang Minh
    H. Xiang Wang
    Y. Fen Li
    Tan N. Nguyen
    Artificial Intelligence Review, 2022, 55 : 3503 - 3568