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The bias of AI answers depends on the dataset used to train the AI algorithm. If the dataset is not balanced and does not provide a diverse range of inputs, the AI answer could be biased. In addition, the answers could be biased if the algorithm itself is designed in a biased way. Therefore, to ensure unbiased AI answers, organizations should make sure that the datasets used to train the algorithm are diverse and balanced, and that the algorithm itself is designed without bias.
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