Glossary term
Glossary term
Governance and Compliance
The tendency to see out-group members as more alike than in-group members when comparing attitudes, values, personality traits, and other characteristics. In-group refers to people you interact with regularly; out-group refers to people you don't interact with regularly. If you create a dataset by asking people to provide attributes about out-groups, those attributes may be less nuanced and more stereotyped than attributes that participants list for people in their in-group.
For example, Lilliputians might describe the houses of other Lilliputians in great detail, citing small differences in architectural styles, windows, doors, and sizes. However, the same Lilliputians might simply declare that Brobdingnagians all live in identical houses.
Out-group homogeneity bias is a form of group attribution bias.
See also in-group bias.
For example, Lilliputians might describe the houses of other Lilliputians in great detail, citing small differences in architectural styles, windows, doors, and sizes. However, the same Lilliputians might simply declare that Brobdingnagians all live in identical houses.
Out-group homogeneity bias is a form of group attribution bias.
See also in-group bias.
Created for this library
A people-analytics team trains analysts to notice out-group homogeneity bias when interpreting performance data across teams.
A market research team flags out-group homogeneity bias when interpreting segment behaviors so analysts do not treat unfamiliar groups as undifferentiated.
A research lab includes out-group homogeneity bias in its annotator training so labelers do not over-generalize from a few cases.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License