Experts at the Network of African Data Protection Authorities (NADPA) Conference have raised concerns that Africa risks inheriting harmful biases if artificial intelligence systems are built without local data.
Speaking during a panel on data governance, MTN Nigeria’s Ikenna Ikeme warned that over-reliance on foreign-made AI tools could lead to inaccuracies and misaligned development outcomes. “Data can be transformational but also presents risks, ranging from privacy to investment,” he said.
Google’s Adewolu Adene noted that AI and data governance could add $30 trillion to Africa’s economy by 2030, but only if the continent takes control of its digital future. “All stakeholders must ensure Africa is positioned to capitalise on this new economy,” he urged.
Other panelists – from Microsoft, Meta, AstraZeneca, and Mastercard – stressed the need for strong, local data governance systems to ensure AI development reflects African languages, cultures, and priorities. They argued that Africa should not just adopt global trends but help shape them.
The conference emphasized three core themes: policy alignment, trust in data systems, and investment in local infrastructure. Participants called on African governments to adopt unified legal standards, support cross-border data flows, and build homegrown capacity in AI and digital technologies.
Regulators were urged to take an inclusive, forward-looking approach to AI policy that safeguards rights while promoting innovation.
