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Responsible AI in Africa Cannot Be Imported as a Checklist

Responsible AI becomes credible when African institutions translate universal principles through local rights, histories, languages, relationships, inequalities, ministry practices and public accountability.

Responsible artificial intelligence is often presented as a list: protect privacy, reduce bias, explain decisions, maintain human oversight and disclose automated content. These principles matter. Yet the same checklist can be completed in Nairobi, Accra, Addis Ababa or London while concealing very different realities of language, electricity, disability, labour, public authority, pastoral care and institutional dependence.

A governance form may ask whether a system has human oversight without asking whether the named reviewer has competence, time or power. It may record that a privacy notice exists without testing whether a learner on a shared phone can understand or refuse it. It may classify a model as accessible while excluding people whose language, sign language or local knowledge barely appears in its data.

Responsible AI in Africa cannot be imported as a finished checklist. Universal rights and standards must be interpreted through African histories, institutions, relationships and lived harms, then converted into locally accountable decisions, evidence and remedy. Context is not an exemption from responsibility; it is where responsibility becomes real.

On 4 November 2026, Research ICT Africa is scheduled to convene a session at the Africa Internet Governance Forum in Accra titled ‘Beyond Imported Checklists: Toward an African AI Safety Agenda’. The session is framed around risks and harms that prevailing global safety approaches may overlook in African social, economic and governance settings. Research ICT…

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