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</html><description>Description: Bias in data collection refers to the presence of prejudices or distortions in the methods used to gather information that will be employed in training artificial intelligence (AI) systems. This phenomenon can arise from various sources, such as the selection of unrepresentative samples, the formulation of biased questions, or the subjective interpretation of data. [&hellip;]</description></oembed>
