Sources of bias: training data, feedback loops, proxy variables, label bias (20 min) - Fairness metrics: introduction to key concepts (20 min) - What is disparate impact? How is it measured? - Why "our algorithm doesn't use race" doesn't solve the problem - Interactive exercise: bias identification