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Stereotyping, prejudice or favoritism towards some things, people, or groups over others. These biases can affect collection and interpretation of data, the design of a system, and how users interact with a system. Forms of this type of bias include:
Systematic error introduced by a sampling or reporting procedure. Forms of this type of bias include:
Not to be confused with the bias term in machine learning models or prediction bias.
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