In this compelling talk, technologist and economist Chenayi Mutambasere explores the urgent need for inclusive intelligence in AI. She highlights three key data gaps that includes Representation, Africa, and Languages that lead to systemic biases in areas like hiring, healthcare, and law enforcement. Chenayi calls for ethical data use, equitable access, and diverse voices in AI development to prevent digital exclusion. Her talk is a powerful call to action for governments, educators, and technologists to address data poverty and build AI systems that reflect the full breadth of human experience.Chenayi Mutambasere is a development economist, enterprise architect, and advocate for equitable economic solutions. With expertise in AI, institutional reform, and economic justice, Chenayi is committed to shaping inclusive and sustainable development. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
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