Global Certificate in AI Accountability: Performance Metrics
-- ViewingNowThe Global Certificate in AI Accountability: Performance Metrics course is a comprehensive program designed to equip learners with essential skills in AI performance measurement and accountability. In an era where AI systems are increasingly being adopted across industries, there is a growing demand for professionals who can ensure these systems are not only effective but also fair, transparent, and ethical.
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โข Introduction to AI Accountability: Understanding the Need for Performance Metrics
โข Key Concepts in AI Performance Metrics: Accuracy, Precision, Recall, F1 Score, ROC Curve
โข Performance Metrics in Supervised Learning: Regression and Classification Evaluation
โข Performance Metrics in Unsupervised Learning: Clustering and Dimensionality Reduction
โข Evaluation of AI Model Fairness: Demographic Parity, Equal Opportunity, Equalized Odds
โข Evaluation of AI Model Robustness: Adversarial Example Detection, Model Stability
โข Explainability in AI Performance Metrics: Feature Importance, SHAP, LIME
โข Best Practices in AI Performance Metrics: Model Selection, Model Validation, Model Reporting
โข Ethical Considerations in AI Accountability: Bias, Discrimination, Privacy
โข Future Directions in AI Accountability: Emerging Standards and Regulations
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