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"Data Bias" as a category for books encompasses works that explore the systematic and often unintentional prejudices embedded within data collection, analysis, and interpretation processes. These books delve into how biases in data can arise from various sources, including flawed methodologies, cultural assumptions, and unequal representation of different groups. They examine the profound implications of data bias on decision-making in fields such as healthcare, criminal justice, finance, and technology, highlighting how biased data can perpetuate inequality and injustice. Authors in this genre often advocate for more ethical data practices and offer strategies to identify, mitigate, and rectify biases to ensure fairer and more accurate outcomes.

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