Talk: Examining Validity of ML Systems in the Public Sphere by Rediet Abebe

Examining Validity of ML Systems in the Public Sphere

We are delighted to host Professor Rediet Abebe (University of California, Berkeley) for a talk in our series on The Science of the Predicted Human. Professor Abebe's research builds a scientific foundation for understanding the interactions of algorithms and inequality.

About Rediet Abebe

Rediet Abebe is an Assistant Professor at University of California, Berkeley where she leads the Berkeley Equity and Access in Algorithms, Mechanisms, and Optimization research group. Rediet Abebe is also a Junior Fellow at the Harvard Society of Fellows and an Andrew Carnegie Fellow. Much of Abebe's work studies algorithms and inequality, a research area that she has pioneered and is contributing to the foundation of. Before joining the faculty at University of California, Berkeley, Rediet Abebe did her Ph.D. with Jon Kleinberg at Cornell University. She also holds degrees in mathematics from the University of Cambridge and from Harvard University.