The article explores the issue of bias in AI systems through the narrative of an alien named Cuq’oi, who learns about human society by consuming vast amounts of information, thereby adopting human prejudices. This allegory illustrates how AI models, like Cuq’oi, can develop biases by processing large datasets reflective of societal stereotypes and inequality, as demonstrated by examples such as Microsoft's Tay chatbot and Amazon's biased recruiting engine. The text discusses types of harm caused by AI bias, including representational and allocative harm, and highlights the challenges of debiasing AI systems, particularly those trained on unstructured data. It concludes by emphasizing the importance of removing bias from AI to prevent the amplification of societal issues and stresses the need for diverse and comprehensive training data. The article suggests that AI should not just mirror societal biases but help reduce them, and it advocates for ongoing efforts to mitigate bias in AI models to foster a fairer society.