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

• Published in: Data & Policy Vol. 6
• Main Authors: Effoduh, Jake Okechukwu, Akpudo, Ugochukwu Ejike, Kong, Jude Dzevela
• Format: Journal Article
• Language: English
• Published: Cambridge Cambridge University Press 01.01.2024
• Subjects: Africa; Artificial intelligence; Computer security; Cybersecurity; data governance policy; Data integrity; Data processing; Design; Governance; Human rights; Inclusion; inclusive artificial intelligence; Power; Privacy; Relativism; Supranationalism; Trustworthiness; Victims; Africa
• ISSN: 2632-3249; 2632-3249
• DOI: 10.1017/dap.2024.26

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.