Fairness in Automated Decision Making

Offered this year and every year

Spring 2023

We know we want to build more equitable technology, but how? In this course we’ll review the latest developments in how to build more equitable algorithms, including definitions of (un)fairness, the challenges of explaining how ML works, making sure we can get accountability, and much more.

Location:CIT 477
Meeting Time:TTh 2:30-3:50 PM
Exam Group:10-MAY-2023 02:00 PM