Fairness in Automated Decision Making

Instructor: Suresh Venkatasubramanian
Textbook: Barocas, S., Hardt, M. and Narayanan, A. (2023). Fairness and Machine Learning: Limitations and Opportunities. The MIT Press. ISBN 978-0-262-04861-3.

Description: This course covered the latest developments in how to build more equitable algorithms, including definitions of (un)fairness, the challenges of explaining how ML works and making sure we can get accountability.

We know we want to build more equitable technology, but how?

 

Spring ‘23