📚 node [[group_attribution_bias|group attribution bias]]
Welcome! Nobody has contributed anything to 'group_attribution_bias|group attribution bias' yet. You can:
  • Write something in the document below!
    • There is at least one public document in every node in the Agora. Whatever you write in it will be integrated and made available for the next visitor to read and edit.
  • Write to the Agora from social media.
    • If you follow Agora bot on a supported platform and include the wikilink [[group_attribution_bias|group attribution bias]] in a post, the Agora will link it here and optionally integrate your writing.
  • Sign up as a full Agora user.
    • As a full user you will be able to contribute your personal notes and resources directly to this knowledge commons. Some setup required :)
⥅ related node [[group_attribution_bias]]
⥅ node [[group_attribution_bias]] pulled by Agora
📓 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]]

#fairness

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.

H
📖 stoas
⥱ context
← back
ai glossary

↑ pushing here
(none)

↓ pulling this
(none)
→ forward
(none)
🔎 full text search for 'group_attribution_bias|group attribution bias'