This repository contains all the material supporting the tutorial “Trustworthy Algorithmic Ranking Systems”

Abstract

This tutorial aims at providing its audience an interdisciplinary overview about the topics of fairness and non-discrimination, diversity, and transparency as the main dimensions of trustworthy AI systems, tailored to algorithmic ranking systems such as search engines and recommender systems. We will equip the mostly technical audience of WSDM with the necessary understanding of the ethical implications of their research and development on the one hand, and of recent political and legal regulations that address the aforementioned dimensions on the other hand.

While the tutorial foremost takes a European perspective, because EU regulation is at the forefront of elaborating guidelines for ethical and trustworthy AI, we also review initiatives outside of Europe, in particular in the US and China.

The tutorial targets both academic scholars as well as practitioners around the globe, by reviewing recent research and providing practical examples addressing one or more of the trustworthiness aspects, and showcasing how new regulations affect the audience’s daily work.

Tutorial Materials

Organization