Machine learning terms/Fairness: Difference between revisions
(Created page with "*attribute *automation bias *bias (ethics/fairness) *confirmation bias *counterfactual fairness *coverage bias *demographic parity *disparate impact *disparate treatment *equality of opportunity *equalized odds *experimenter's bias *fairness constraint *fairness metric *group attribution bias *implicit bias *incompatibility of fairness metrics *individual fairness *in-group bias *non-response b...") |
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*[[attribute]] | <noinclude>{{see also|Machine learning terms}}</noinclude>*[[attribute]] | ||
*[[automation bias]] | *[[automation bias]] | ||
*[[bias (ethics/fairness)]] | *[[bias (ethics/fairness)]] | ||
Latest revision as of 16:32, 26 February 2023
- See also: Machine learning terms
- attribute
- automation bias
- bias (ethics/fairness)
- confirmation bias
- counterfactual fairness
- coverage bias
- demographic parity
- disparate impact
- disparate treatment
- equality of opportunity
- equalized odds
- experimenter's bias
- fairness constraint
- fairness metric
- group attribution bias
- implicit bias
- incompatibility of fairness metrics
- individual fairness
- in-group bias
- non-response bias
- out-group homogeneity bias
- participation bias
- post-processing
- predictive parity
- predictive rate parity
- preprocessing
- proxy (sensitive attributes)
- reporting bias
- sampling bias
- selection bias
- sensitive attribute
- unawareness (to a sensitive attribute)