AI is providing solutions to Africa’s major social, economic and environmental challenges, from the health sector to education and agriculture. Its unique potential could prove to be a game-changer for the continent.
Artificial intelligence (AI) is no longer a distant dream in Africa, it has already become a key tool for transforming the continent, sector by sector...
In Africa, AI is about more than a technological breakthrough, it also raises issues around sovereignty. “Whoever controls the data will control the future,” believes Professor Yonta. According to him, as long as international technology corporations hold a monopoly over African data, the continent will never be independent. For this reason, gaining control over local data must be a top priority.
This aim is illustrated in Senegal’s national artificial intelligence program, which champions local languages. Integrating local languages into AI models is not just about identity, it’s also a strategic issue. Large Language Models (LLMs) are trained on linguistic data. Excluding African languages from this data can lead to biases that make these models unsuited to dealing with local issues. Professor Yonta believes that “incorporating these languages would not only help us better meet the needs of populations, but also ensure equitable representation of African cultures in the digital ecosystem.” He sees this approach as essential for AI to become an inclusive and sovereign tool on the continent.
Engineers in Africa also have an important role to play in shaping the future of AI. However, with issues like talent drain and a lack of specialist training, this presents a major challenge. There is an urgent need to train skilled engineers with experience of life on the ground in Africa.
Also, the AI sector cannot be developed without reliable infrastructure. “In addition to data, creating large-scale AI models requires vast computing power, major storage capacity and high-performance interconnection networks. There are currently very few African countries with infrastructure of sufficient quality to compete with other regions of the world,” explains Professor Yonta. This situation calls for an alternative approach: Frugal AI. This method relies on networks of small, interconnected machines, which cuts costs while also limiting the environmental impact. This innovative approach is well suited to the continent’s current constraints.
Artificial Intelligence is a ambitious gamble for Africa. Despite the structural challenges, it presents unprecedented opportunities, and has the potential to drive sustainable transformation. But this will require gaining data management expertise, investing in talent and building suitable infrastructure.
A Guest Editorial