AI Data Fairness and Bias

In this course, we will explore fundamental issues of fairness and bias in machine learning. As predictive models begin making important decisions, from college admission to loan decisions, it becomes paramount to keep models from making unfair predictions. From human bias to dataset awareness, we will explore many aspects of building more ethical models.

• Explain key concepts of fairness and bias in machine learning
• Identify sources of bias in datasets and models
• Assess the impact of bias on predictive decisions
• Apply principles to build more equitable models

• Basic computer and internet skills
• Ability to follow course materials in English