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Fairness (Metrics (Custom thresholds, TF Fairness Indicators, Single…
Fairness
Metrics
Custom thresholds
TF Fairness Indicators
Single Threshold
Demographic Parity
Equal Opportunity
Equal Accuracy
Group Thresholds
Counterfactual Fairness
Predictive Parity
Equalized Odds
Monotonic constraints
Individual Partial Dependence Plots
Data Bias
Data Source Bias
Population Bias
Behavioral Bias
Content Production
Linking Bias
Temporal Bias
Data Collection
Population Bias
Representation Bias
Augmentation Bias
Active Learning
Data Sampling and Reporting Bias
Coverage Bias
Non-response Bias
Participation Bias
Reporting Bias
Sampling Bias
Selection Bias
Data Collection and Interpretation Bias
In-Group Bias
Group Attribution Bias
Automation Bias
Confirmation Bias
Experimenter Bias
Implicit Bias
Out-Group Homogeneity Bias
Data Analysis Bias
Data Processing Bias
Data Evaluation Bias
Tools
IBM Watson Openscale
Microsoft Fairlearn
Microsoft InterpretML
Explainable Boosting
LIME
SHAP
Sensitivity Analysis
Partial Dependence
Google What-if Tool
IBM AI Fairness 360
Microsoft Azure ML Interpretability
Model
Model Training
Monotonic Constraints
Fairness aware loss function
Model Testing
Practical Testing
Targeted Testing
Quick Testing
Comprehensive Testing
Ecological Testing
Adversarial Testing
Stress Testing
Across-subgroups Testing