Fundamentals of AI Fairness

Intermediate

34 Lessons

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

3 Projects

1 Assessment

15 Playgrounds

14 Quizzes

This course includes

3 Projects

1 Assessment

15 Playgrounds

14 Quizzes

Course Overview

In this course, you will learn the basic concepts of AI fairness as part of the broader concept of Responsible AI. As AI’s role in our daily lives increases, ensuring algorithms are fair for everyone is becoming increasingly important. You will use Python with various types of models, starting from simple regression up to transformers. You will learn what AI fairness is, how to measure if a model is fair, and, most importantly, how to fix biased systems. You’ll cover both structural (tabular) and textual ...Show More

TAKEAWAY SKILLS

Data Science

Machine Learning

What You'll Learn

An understanding of the role and importance of AI fairness

Hands-on experience measuring fairness

Working knowledge of debiasing various types of models

The ability to build fair models for structured and textual data

What You'll Learn

An understanding of the role and importance of AI fairness

Course Content

Introduction to AI Fairness

What Is AI Fairness and Why It Matters?Real-Life Examples Formal Definition and Fairness in Regulations

Motivating Example

Credit Scoring Problem Building a Model Is the Model Fair?Challenge: Fairness through Unawareness Quiz on German Scoring Problem

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

Project: Fix Bias Using Threshold Optimization

Project

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

Project: Make a Fair Classifier

Project

Fairness in Natural Language Processing

Word Embeddings Biased Vectors Debiasing Vectors Word Embedding Association Test Data Augmentation Quiz: Fairness in NLP

Project: Explore Fairness in NLP Models

Project

Conclusion

1 Lesson

Check Your Knowledge About Fair AI

Assessment

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