Explainable AI and Society

an interdisciplinary, hybrid lecture series

Past Lectures

Fall 2023


19 Oct ’23
6:00 pm
Explained – Agreed: On the Consequences of Informed Consent on Explainability (Philosophy) Claus Beisbart
University of Bern
16 Nov ’23
6:00 pm

Trustworthy Machine Learning (Computer Science)

Emmanuel Müller
TU Dortmund
14 Dec ’23
6:00 pm
A Legal Perspective on Explainable AI: Why, How Much and For Whom? (Law) Anne Lauber-Rönsberg
TU Dresden
19 Jan ’23
6:00 pm
Organizing AI: How to Shape Accountable AI Development and Use (Psychology) Gudela Grote
ETH Zurich

Fall 2022


20 Oct ’22
6:00 pm
What AI can Learn from Law
(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
(Psychology)
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
(Philosophy)
Kate Vredenburgh
London School of Economics
14 Jul ’22
6:15 pm
Liability for AI
(Law)
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