📕 subnode [[@KGBicheno/group_attribution_bias]]
in 📚 node [[group_attribution_bias]]
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garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Group_Attribution_Bias.md by @KGBicheno
group attribution bias
Go back to the [[AI Glossary]]
Assuming that what is true for an individual is also true for everyone in that group. The effects of group attribution bias can be exacerbated if a convenience sampling is used for data collection. In a non-representative sample, attributions may be made that do not reflect reality.
See also out-group homogeneity bias and in-group bias.
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📖 stoas
- public document at doc.anagora.org/group_attribution_bias
- video call at meet.jit.si/group_attribution_bias