Lecture Series “Explainable AI and Society”
The 4th installment of the lecture series “Explainable AI and Society” will take place during the winter semester 2023/2024, online and in person at TU Dortmund.
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?
The interdisciplinary, hybrid lecture series presents the latest research on these and related topics and invites exchange with researchers, students, and the interested public.
Lecture Dates

* 19.10.23, 6.15 p.m. (CEST): Claus Beisbart, University of Bern (philosophy):
“Explained – Agreed. On the Consequences of Informed Consent on Explainability”

* 16.11.23, 6.15 p.m. (CET): Emmanuel Müller, TU Dortmund (computer science):
“Trustworthy Machine Learning”

* 14.12.23, 6.15 p.m. (CET): Anne Lauber-Rönsberg, TU Dresden (law):
“A Legal Perspective on Explainable AI: Why, How Much and For Whom?”

* 18.01.24, 6.15 p.m. (CET): Gudela Grote, ETH Zurich (psychology):
“Organizing AI: How to Shape Accountable AI Development and Use”

Registration
To register, send an e-mail with the title “Registration” to sara.mann@tu-dortmund.de<mailto:sara.mann@tu-dortmund.de>. Include which lecture(s) you would like to attend and whether you will attend online or in person.
For further information visit www.eis.science/lectures
The lecture series is organized by the research project “Explainable Intelligent Systems<https://explainable-intelligent.systems/>”, funded by the Volkswagen Foundation.

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