Explainable AI and Society
an interdisciplinary, hybrid lecture series
Modern AI can be used to drive cars, to decide on loans, or to detect cancer. Yet, the inner workings of many AI systems remain hidden – even to experts. Given the crucial role that AI systems play in modern society, this seems unacceptable. But how can we make complex, self-learning systems explainable? What kinds of explanations are we looking for when demanding that AI must be explainable? And which societal, ethical and legal desiderata can actually be satisfied via explainability?
| 19 Oct ’23 6:15pm |
TBD Philosophy |
Claus Beisbart University of Bern |
| 16 Nov ’23 6:15pm |
TBD Computer Science |
Emmanuel Müller Technische Universität Dortmund |
| 14 Dec ’23 6:15pm |
TBD Law |
Anne Lauber-Rönsberg Technische Universität Dresden |
| 18 Jan ’23 6:15pm |
TBD Psychology |
Gudela Grote ETH Zurich |
Next lecture: Claus Beisbart – Title: TBD
19 Oct ’23 – 6.15pm
Location: International Meeting Centre (IBZ), TU Dortmund, Emil-Figge-Straße 59, 44227 Dortmund
Further information will follow soon.
To register, send an e-mail with the title “Registration” to sara.mann@tu-dortmund.de. Include which lecture(s) you would like to attend and whether you will attend online or in person.
Click here for information on past lectures.
Scientific organizers
Kevin Baum, Georg Borges, Holger Herrmanns, Lena Kästner, Markus Langer, Astrid Schomäcker, Andreas Sesing, Ulla Wessels, Timo Speith, Eva Schmidt
Funded by the
