"Explainable AI and Society" Lecture Series

October 19, 2023 - January 18, 2024
Explainable Intelligent Systems

International Meeting Centre (IBZ)
Emil-Figge-Straße 59
Dortmund 44227
Germany

This event is available both online and in-person

Speakers:

University of Bern

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"Explainable AI and Society" Lecture Series

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 [email protected]. 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", funded by the Volkswagen Foundation.

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January 18, 2024, 6:15pm CET

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Université Des Antilles

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