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AI bias can have negative consequences for businesses and their customers. Examples include a facial recognition software that misidentified images of minority people, and an algorithm that showed racial bias in diagnosing heart attacks. The most common cause of AI bias is a skewed or noninclusive dataset used to train or program an algorithm. To […]
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