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Bias Category
Bias refers to a systematic deviation from truth or fairness in data, algorithms, or decision-making processes. It often emerges from prejudiced training data, flawed assumptions, or unequal representation within datasets. Detecting and mitigating bias is crucial for ensuring accuracy, ethical standards, and inclusive outcomes in artificial intelligence and statistical analysis. Addressing bias enhances model reliability and fosters trust across diverse user groups.
