Abstract: What does fairness mean within a social network? Access to information spread through a network can mean knowledge of jobs, public health information, or even public safety alerts. We’ll consider who has access to information flowing through a network, how to define fairness in this context, what interventions can be made to ensure more equal access to information, and what it would mean to cluster people based on their information access.
Bio: Sorelle Friedler is an Associate Professor of Computer Science at Haverford College and an Affiliate at the Data & Society Research Institute. Her research focuses on the fairness and interpretability of machine learning algorithms, with applications from criminal justice to materials discovery. Sorelle is a Co-Founder of the ACM Conference on Fairness, Accountability, and Transparency (FAccT) and publishes and speaks regularly on her work on preventing discrimination in machine learning. She holds a Ph.D. in Computer Science from the University of Maryland, College Park.