You really do not want a biased model making predictions for you, do you? Despite the abundance of top quality machine learning (ML) practitioners and technological advancements, there is no dearth of real-life ML failures.

Let us first revisit these high-profile ML and AI failures where an underlying biased model was one, if not the predominant, reason for their failure, before going over certain sources of bias that can impact your predictive models.

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