Explainable AI and Society

an interdisciplinary, hybrid lecture series

Past Lectures

Fall 2022

20 Oct ’22
6:00 pm
What AI can Learn from Law
Reka Markovich
University of Luxembourg
17 Nov ’22
6:00 pm

Hybrid, Explanatory, Interactive Machine Learning —  Towards Human-AI Partnership (Computer Science)

Ute Schmidt
University of Bamberg
15 Dec ’22
6:00 pm
What Advertising Data Tells us about Society           (Computer Science) Ingmar Weber
Saarland University
19 Jan ’23
6:00 pm
Minimal Ethics – A Framework for Applied Ethics in the  Digital Sphere (Philosophy) Vincent Müller
Friedrich-Alexander University Erlangen-Nuremberg


Summer 2022

21 April ’22
6:15 pm
Why We Need a Science of Machine Behavior
Iyad Rahwan
Max Planck Institute for Human Development
19 May ’22
6:15 pm
The Invisible Hand of Prediction
(Computer Science)
Moritz Hardt
Max Planck Institute for Intelligent Systems
09 Jun ’22
6:15 pm
Justification, Decision Threshold, and Randomness
Kate Vredenburgh
London School of Economics
14 Jul ’22
6:15 pm
Liability for AI
Herbert Zech
Humboldt Universität zu Berlin


Fall 2021

21 Oct ’21
6:15 pm
Discrimination by AI systems:
An Analysis from a Legal Perspective. (Law)
Georg Borges
Saarland University
18 Nov ’21
6:15 pm
Action Regulation in Human-AI-Interaction:
The Psychology of Intelligent Automation (Psychology)
Thomas Franke & Tim Schrills
University of Lübeck
16 Dec ’21
6:15 pm
Algorithmic recourse:
Theory and Practice (Computer Science)
Isabel Valera
Saarland University
20 Jan ’22
6:15 pm
Explaining Machine Learning:
A New Kind of Idealization? (Philosophy)
Emily Sullivan
Eindhoven University of Technology


Scientific organizers

Kevin Baum, Georg Borges, Holger Herrmanns, Lena Kästner, Markus Langer, Astrid Schomäcker, Andreas Sesing, Ulla Wessels

Funded by the