Business Analytics
Bias in algorithms refers to the systematic favoritism or prejudice embedded in algorithmic processes that can lead to unfair or inaccurate outcomes. This bias can stem from various sources, including the data used to train algorithms, the design of the algorithms themselves, or the societal biases of the developers. Understanding bias in algorithms is essential as it highlights potential ethical concerns and impacts decision-making in numerous fields, especially when dealing with big data and emerging technologies.
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