CSCI1951-Z
Fairness in Automated Decision Making
Offered this year and every yearSpring 2025
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): | |
Location: | TBD |
Meeting Time: | TBD |
Exam Group: | TBD |
CRN: | None |