Artificial intelligence (AI) is increasing productivity and pushing the boundaries of what’s possible. It powers self-driving cars, social media feeds, fraud detection and medical diagnoses. Touted as a game changer, it is projected to add nearly US$15.7 trillion to the global economy by the end of the decade.
Africa is positioned to use this technology in several sectors. In Ghana, Kenya and South Africa, AI-led digital tools in use include drones for farm management, X-ray screening for tuberculosis diagnosis, and real-time tracking systems for packages and shipments. All these are helping to fill gaps in accessibility, efficiency and decision-making.
However, it also introduces risks. These include biased algorithms, resource and labour exploitation, and e-waste disposal. The lack of a robust regulatory framework in many parts of the continent increases these challenges, leaving vulnerable populations exposed to exploitation. Limited public awareness and infrastructure further complicate the continent’s ability to harness AI responsibly.
What are African countries doing about it? To answer this, my research mapped out what Ghana and Rwanda had in place as AI policies and investigated how these policies were developed. I looked for shared principles and differences in approach to governance and implementation.
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