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Bias in algorithms refers to systematic errors that occur in the decision-making processes of computer algorithms, often due to the data they are trained on or the design choices made by developers. This bias can lead to unfair or discriminatory outcomes, affecting how algorithms interact with different demographics. Understanding this bias is crucial for ensuring data-driven decision making is equitable and just.
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