⚖️ AI Bias Detector
Analyze datasets and models for fairness and bias
📊 Bias Metrics
Demographic Parity
0.12
Equal Opportunity
0.05
Disparate Impact
0.68
Statistical Parity
0.15
👥 Group Analysis
🎯 Fairness Recommendations
⚠️ Moderate Bias Detected
- Consider rebalancing training data across demographic groups
- Apply fairness constraints during model training
- Use bias mitigation techniques (reweighting, adversarial debiasing)
- Regular auditing and monitoring in production