Machine learning terms/Fairness

• 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)