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Africa Public Interest AI Council Launches
A new independent council wants public participation, African languages and democratic accountability to carry more weight in the continent's AI policy debate.

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A new independent council has entered Africa's artificial-intelligence policy debate with a deliberately different question: not simply how quickly the continent can adopt AI, but who gets to shape the direction of that adoption and who benefits from it.
The Africa Public Interest AI Council, or APiAC, has been convened by the Samawati Collective as a small interdisciplinary group connecting research, technology, culture, civic movements and public policy. On its official website, the council says it will focus on human agency, democratic participation, cultural expression, rights and shared prosperity.
The Star reported that the six-member council brings together Kofi Yeboah, John-Allan Namu, Maha Jouini, Chido Dzinotyiwei, Charlette N'Guessan and Obinna Okerekeocha. Their backgrounds span journalism, AI governance, language technology, data infrastructure and digital finance. The council intends to commission research, convene public discussions, issue policy advice and contribute to decisions about philanthropic investment.
Its formation reflects a gap in the way AI policy is often discussed. African governments are publishing strategies, companies are investing in infrastructure and regulators are considering new rules. Yet many of those processes begin with competitiveness, investment or state capacity rather than the experience of citizens whose data, languages and public services will be affected.
That does not make growth or infrastructure unimportant. It means their value should be tested against public outcomes. A data centre is not automatically a public benefit if local researchers cannot access computing power. A language model is not inclusive because it recognises a few African words. A public-sector AI system is not accountable unless people can understand its role, correct errors and challenge decisions.
The council's attention to language is especially important. Most Africans use languages that remain poorly represented in commercial AI systems and benchmark datasets. The result can be lower accuracy, exclusion from digital services or a gradual pressure to interact with technology through languages that are not the user's strongest. Public-interest scrutiny should ask who owns the data collected to close that gap and whether communities retain meaningful control over its use.
APiAC is distinct from the Africa AI Council formed through Smart Africa. The Smart Africa initiative is an institutional coordination mechanism involving governments and continental digital-policy structures. APiAC presents itself as an independent sounding board intended to bring civic, cultural and public-interest perspectives into those wider processes.
Independence will need to be demonstrated through practice. The council should disclose how its research is funded, publish its methods and explain how communities beyond established policy networks can influence its agenda. It should also avoid becoming another expert forum that speaks about ordinary Africans without creating routes for them to participate.
The creation of a council is not an outcome in itself. Its significance will depend on whether its evidence changes procurement choices, regulatory language, investment priorities or the design of public services. Africa already has many AI declarations. What remains scarce are institutions capable of asking difficult questions before technology becomes embedded and expensive to reverse.
Sources: Africa Public Interest AI Council and The Star.