AI Ethics Validator Overview Validate AI/ML models and datasets for bias, fairness, and ethical compliance using quantitative fairness metrics and structured audit workflows. Prerequisites - Python 3.9+ with Fairlearn = 0.9 ( ) - IBM AI Fairness 360 toolkit ( ) for comprehensive bias analysis - pandas, NumPy, and scikit-learn for data manipulation and model evaluation - Model predictions (probabilities or binary labels) and corresponding ground truth labels - Demographic attribute columns (age, gender, race, etc.) accessible under appropriate data governance - Optional: Google What-If Tool fo…