DSC 167Fairness and Algorithmic Decision-Making
This course examines the greater context under which the practice of data science exists and explores concrete ways these issues surface in technical work. Students learn frameworks for understanding how individuals relate to social institutions, how to use them to identify how issues of fairness arise in the “life of a data scientist,” and use them to propose and critique potential solutions.
Prerequisites
From the catalog: “DSC 80. Restricted to students within the DS25 major. All other students will be allowed as space permits.”