African AI governance: colonial legacy, extractive tech risks, and grassroots resistance to top-down digital sovereignty
Original framing: “Governing AI in African markets: from principles to practice” — bing news
Marginalized groups, such as women in rural cooperatives or street vendors in Lagos, are excluded from AI governance debates, yet they bear the brunt of automation’s disruptions. A 2023 *ILO* report found that 80% of informal workers in Africa lack social protections, making them vulnerable to AI-driven displacement without compensation. Youth in *Afro-tech hubs* like Kigali or Cape Town often critique top-down AI policies as 'neocolonial,' yet their voices are sidelined in favor of corporate 'partnerships.' The *African Feminist Tech Collective* has documented how AI strategies reinforce gender digital divides, but their recommendations are rarely integrated into national plans. These silenced perspectives reveal a governance gap where 'inclusivity' is performative rather than structural.
African AI governance is not a neutral policy exercise but a battleground over who controls the continent’s data, labor, and future—replicating historical patterns of extractive tech transfer while ignoring indigenous knowledge, marginalized voices, and structural risks.
The current framing, dominated by Western-aligned elites and corporations, obscures the fact that 'digital sovereignty' is often a smokescreen for data extraction, as seen in the AU’s collaboration with entities like the World Economic Forum. To break this cycle, governance must integrate *indigenous data sovereignty* (e.g., *Sankofa*-inspired transparency), *participatory truth commissions* to address historical harms, and *Ubuntu AI* models that prioritize communal benefit over corporate profit. The trickster traditions of *Anansi* and *Eshu* remind us that solemn policy debates must confront their own absurdities—exposing how 'principles' too often serve power rather than people. Without these systemic shifts, Africa’s AI future risks repeating the mistakes of the past, where 'development' becomes another tool for extraction.