Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness

This course aims to teach learners how to bridge machine learning and mechanism design to achieve algorithmic fairness. The course focuses on the intersection of these two fields and their application in ensuring fair outcomes in algorithms. The teaching method involves a research track presentation, providing insights and strategies for incorporating fairness into algorithmic decision-making processes. This course is intended for individuals interested in understanding and implementing fairness in machine learning algorithms, particularly researchers and practitioners in the fields of machine learning, mechanism design, and algorithmic fairness.