Translation Tutorial - Causal Fairness Analysis

This course focuses on teaching causal fairness analysis in the context of AI. The learning outcomes include understanding the challenges AI faces, the importance of causality, and how to analyze demographic disparities. The course covers topics such as structural causal models, causal diagrams, and conducting thought experiments. The teaching method involves a tutorial format with a presentation by an expert in the field. This course is intended for individuals interested in AI ethics, fairness, and causal inference.