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</html><description>Description: Bias in predictions refers to the tendency of artificial intelligence (AI) models to generate results that are not impartial, reflecting biases or inequalities present in the training data. This phenomenon can arise from various sources, such as data selection, representation of demographic groups, or model design decisions. Bias can manifest in different forms, such [&hellip;]</description></oembed>
