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Fundamentals of AI Fairness
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1.
Introduction to AI Fairness
What Is AI Fairness and Why It Matters?
Real-Life Examples
Formal Definition and Fairness in Regulations
2.
Motivating Example
Credit Scoring Problem
Building a Model
Is the Model Fair?
Challenge: Fairness through Unawareness
Quiz on German Scoring Problem
3.
Measuring Fairness
Protected Attributes
Space University Example
Simpson’s Paradox
Group and Individual Fairness
A Quick Recap of Common Metrics
Demographic Parity
Predictive Parity
Equality of Opportunity
Equalized Odds
Effect of Threshold Selection
Quiz: Fairness Metrics
Mini Project
Premium
Project: Fix Bias Using Threshold Optimization
4.
Mitigation Methods
Data vs. Model Bias
Introduction to Mitigation Methods
More on Threshold Optimization
Reweighing
Reductions
Adversarial Debiasing
Other Methods and Summary
Quiz: Mitigating Bias
Mini Project
Premium
Project: Make a Fair Classifier
5.
Fairness in Natural Language Processing
Word Embeddings
Biased Vectors
Debiasing Vectors
Word Embedding Association Test
Data Augmentation
Quiz: Fairness in NLP
Mini Project
Premium
Project: Explore Fairness in NLP Models
6.
Conclusion
Summary and Next Steps
Assessment
Check Your Knowledge About Fair AI
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Fundamentals of AI Fairness
Quiz: Mitigating Bias
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