AI Bias Detection Simulator - WIA-AI-013 ⚖️

📊 Demographic Parity

⚖️ Equalized Odds

🔍 Feature Importance

📋 Dataset Scanner

🛠️ Mitigation Strategy

Demographic Parity Checker

Demographic parity requires that the prediction rate is the same across different demographic groups.

Group A: Total Cases

Group A: Positive Predictions

Group B: Total Cases

Group B: Positive Predictions

Equalized odds requires equal true positive rate and false positive rate across groups.

Group A: True Positives

Group A: False Positives

Group A: True Negatives

Group A: False Negatives

Group B: True Positives

Group B: False Positives

Group B: True Negatives

Group B: False Negatives

Analyze which features contribute most to model predictions and identify potential proxy discrimination.

Select Dataset Type

Scan your dataset for representation bias, label imbalance, and data quality issues.

Dataset Statistics (JSON format)

Select appropriate bias mitigation techniques based on your specific scenario.

Bias Type Detected

Project Phase

Industry/Domain