Machine Learning Fairness

Throughout history, the people with power have shaped their narrative by redefining justice. Today's decision-makers are rapidly offloading analysis to algorithms, where recognizing the effects of machine output is often done only in retrospect. In this session, we will explore the relationship between human impact and mathematical representations of fairness to help us build more equitable machine learning systems.
Emily Pries