Causethical ML Seminar

Winter Semester 2021/22, University of Saarland

Prof. Dr. Isabel Valera

Amir-Hossein Karimi, Miriam Rateike, Pablo Sanchez-Martin







Exploring explainability, fairness and robustness in ML through a causal lens.


This seminar is only for students of the Universtity of Saarland.

Abstract

Causality and ethical ML are two mostly disjoint fields in machine learning. Recently, their intersection is attracting increasing attention as models are deployed for consequential decision-making domains. However, most existing literature only sporadically explores this intersection. The aim of this seminar is to bring these efforts together to open a channel of discussion and potential investigations to fill the gaps. Specifically, the seminar focuses on investigating progress in the fields of fairness, explainability and robustness in ML through a causal lens.


Contact

If you have any questions, please contact us via:

causethical-ml [at] lists.saarland-informatics-campus.de