What is Data Bias?
Data bias refers to the presence of systematic and unfair inaccuracies or prejudices in data that can lead to biased outcomes or decisions when analyzing or using that data. It occurs when the data used for analysis or decision-making reflects existing societal biases, prejudices, or inequalities. Data bias can arise from various sources, including biased data collection methods, biased sampling, or inherent biases in the data itself.Data bias can have significant implications, particularly when it is used in decision-making processes that impact individuals or groups. It can reinforce and perpetuate existing inequalities, discrimination, and unfair treatment. For example, biased data used in hiring algorithms can lead to discriminatory hiring practices, favoring certain demographic groups over others. Related terms
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