Translation Tutorial - Causal Fairness Analysis

Translation Tutorial - Causal Fairness Analysis

Explore causal fairness analysis in this comprehensive tutorial presented by Elias Bareinboim from Columbia University at FAccT 2021. Delve into Structural Causal Models (SCM) and their applications in real-world scenarios, including Berkeley admissions, COMPAS prediction, and UCI Adult dataset. Examine the Causal Fairness Framework, standard fairness models, and discrimination analysis. Investigate counterfactual effects, including direct, indirect, and spurious effects, through thought experiments. Gain insights into causal explanation formulas and their relevance in addressing fairness issues in machine learning and artificial intelligence.