📚 node [[confirmation_bias|confirmation bias]]
Welcome! Nobody has contributed anything to 'confirmation_bias|confirmation 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 [[confirmation_bias|confirmation 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 [[confirmation bias]]
⥅ related node [[confirmation_bias]]
⥅ node [[confirmation-bias]] pulled by Agora
📓 garden/binnyva/Confirmation Bias.md by @binnyva

Tags
⥅ node [[confirmation_bias]] pulled by Agora
📓 garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Confirmation_Bias.md by @KGBicheno

confirmation bias

Go back to the [[AI Glossary]]

#fairness

The tendency to search for, interpret, favor, and recall information in a way that confirms one's preexisting beliefs or hypotheses. Machine learning developers may inadvertently collect or label data in ways that influence an outcome supporting their existing beliefs. Confirmation bias is a form of implicit bias.

Experimenter's bias is a form of confirmation bias in which an experimenter continues training models until a preexisting hypothesis is confirmed.
📖 stoas
⥱ context
← back
ai glossary

↑ pushing here
(none)

↓ pulling this
(none)
→ forward
(none)
🔎 full text search for 'confirmation_bias|confirmation bias'