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Algorithmic bias refers to the systematic and unfair discrimination that can arise in algorithmic decision-making processes, leading to outcomes that favor one group over another. This issue is often a result of biased data inputs, flawed programming, or inadequate testing, which can perpetuate stereotypes and inequalities in various fields such as media, hiring, and law enforcement.
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