Ethical AI Implementation
=========================

Bias Detection and Mitigation
-----------------------------

The package implements several bias detection mechanisms:

.. code-block:: python

    from credit_risk.utils.bias_detection import BiasDetector
    
    detector = BiasDetector(model)
    bias_report = detector.analyze_predictions(X_test, sensitive_features)

Protected Attributes
--------------------
- Age
- Gender
- Race
- Ethnicity

Fairness Metrics
----------------
- Demographic parity
- Equal opportunity
- Equalized odds

Transparency
------------

Explainable AI Features:
- SHAP values for feature importance
- LIME explanations for individual predictions
- Model-agnostic interpretation tools