in-group bias

Showing partiality to one's own group or own characteristics. If testers or raters consist of the machine learning developer's friends, family, or colleagues, then in-group bias may invalidate product testing or the dataset. In-group bias is a form of group attribution bias. See also out-group homogeneity bias. See Fairness: Types of bias in Machine Learning Crash Course for more information.

Practitioners refer to in-group bias when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.