CSCI1491

Fairness in Automated Decision Making

Spring 2027

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.

Instructor(s):
  • Tomo Lazovich
Meets:
TTh 1pm-2:20pm
Exam Group:TBA
Max Seats:58
CRN:24688