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, Timo Speith, Ulla Wessels
Funded by the
