In some cases biases are desired and expected to be part of the algorithm's response. For example, showing food advertisements in asian countries will likely benefit if the AI was biased to promoting asian cuisine as supposed to western cuisine. Algorithms don't understand biases but they learn them due to the statistical inequality of their representation in the training data. If you want to have biases, then make sure that the data has biased distributions.
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