Toward a trustworthy and inclusive data governance policy for the use of artificial intelligence in Africa

被引:0
|
作者
Effoduh, Jake Okechukwu [1 ,2 ,3 ]
Akpudo, Ugochukwu Ejike [2 ,3 ,4 ]
Kong, Jude Dzevela [2 ,3 ,5 ,6 ,7 ]
机构
[1] Toronto Metropolitan Univ, Lincoln Alexander Sch Law, Toronto, ON, Canada
[2] York Univ, Africa Canada Artificial Intelligence & Data Innov, Toronto, ON, Canada
[3] York Univ, Global South Artificial Intelligence Pandem & Epid, Toronto, ON, Canada
[4] Griffith Univ, Sch Engn & Built Environm, Nathan, Qld, Australia
[5] Univ Toronto, Dalla Lana Sch Publ Hlth, Artificial Intelligence & Math Modeling Lab AIMMLa, Toronto, ON, Canada
[6] Univ Toronto, Inst Hlth Policy Management & Evaluat IHPME, Toronto, ON, Canada
[7] Univ Toronto, Bahen Ctr Informat Technol, Dept Math, Toronto, ON, Canada
来源
DATA & POLICY | 2024年 / 6卷
基金
加拿大自然科学与工程研究理事会;
关键词
Africa; artificial intelligence; data governance policy; human rights; inclusive artificial intelligence;
D O I
10.1017/dap.2024.26
中图分类号
C93 [管理学]; D035 [国家行政管理]; D523 [行政管理]; D63 [国家行政管理];
学科分类号
12 ; 1201 ; 1202 ; 120202 ; 1204 ; 120401 ;
摘要
This article proposes five ideas that the design of data governance policies for the trustworthy use of artificial intelligence (AI) in Africa should consider. The first is for African states to assess their domestic strategic priorities, strengths, and weaknesses. The second is a human-centric approach to data governance, which involves data processing practices that protect the security of personal data and the privacy of data subjects; ensure that personal data are processed in a fair, lawful, and accountable manner; minimize the harmful effect of personal data misuse or abuse on data subjects and other victims; and promote a beneficial, trusted use of personal data. The third is for the data policy to be in alignment with supranational rights-respecting AI standards like the African Charter on Human and Peoples Rights, the AU Convention on Cybersecurity, and Personal Data Protection. The fourth is for states to be critical about the extent to which AI systems can be relied on in certain public sectors or departments. The fifth and final proposition is for the need to prioritize the use of representative and interoperable data and ensure a transparent procurement process for AI systems from abroad where no local options exist.
引用
收藏
页数:14
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