Daniela Saban

Associate Professor Daniela Saban discusses the importance of building fairness into algorithms for fair outcomes in job, housing, and relationship matching. She emphasizes the non-neutrality of algorithms and the need for conscious design choices to mitigate inequities. Saban explores the impact of user profiles on matchmaking algorithms, gender dynamics on dating apps, and strategies to improve equity in volunteer matching algorithms.