Professor John Amuasi argues that Africa’s substantial genetic diversity – representing over 70% globally – is crucial for developing effective and ethical artificial intelligence in healthcare. He cautioned that AI systems built without incorporating this diversity will be fundamentally flawed, potentially leading to inaccurate results and even patient harm. Amuasi presented this argument at DLD Munich, a prominent innovation conference attended by global leaders like Bavarian Minister-President Markus Söder and Nobel Laureate Ferenc Krausz. He emphasized the scientific necessity of inclusive datasets for AI healthcare solutions. Ignoring African genomic data risks creating AI that underperforms and fails to address global health needs equitably. His message centered on the need to prioritize data inclusivity to ensure AI benefits all populations. The professor’s presentation underscored Africa’s potential to lead innovation in AI-driven healthcare, provided its genetic resources are properly utilized.