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Artificial intelligence (AI) is celebrated as a transformative technology with the potential to revolutionise industries, enhance productivity, and address global challenges. However, the path to these advancements often obscures the labour, exploitation, and harm endured by the people working behind the scenes to make AI functional. The case of Kenyan AI trainers-workers tasked with labelling, categorising, and curating data to train algorithms-exemplifies the dangers of adopting AI without addressing systemic inequities.
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