Termine vergangener Semester

Gastvortrag
Mittwoch, 31. Januar, 16:15 Uhr
Gebäude A2.2, Raum 1.20.1
Nora Hangel (Leibniz University Hannover; LCSS, Institute for Philosophy) im Rahmen des KTP
Navigating Publication Bias in Behavioral Judgment and Decision Making (JDM) -- Philosophical Analysis of Scientists’ Strategies and Perceptions

"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, 18.15 h
  Claus Beisbart, University of Bern (philosophy):
  Explained – Agreed. On the Consequences of Informed Consent on
  Explainability

• 16.11.23, 18.15 h
  Emmanuel Müller, TU Dortmund (computer science):
  Trustworthy Machine Learning

• 14.12.23, 18.15 h
  Anne Lauber-Rönsberg, TU Dresden (law):
  A Legal Perspective on Explainable AI: Why, How Much and For Whom

• 18.01.24, 18.15 h:
  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. 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.

• 3. Mai 2023 (Gastvortrag)
  18:15, Raum: Gebäude B2.2, Hörsaal II (1.08)
  Roman Heil (Goethe Universität Frankfurt)
  „How to Act on What You Know"

• 31. Mai 2023 (Gastvortrag)
  Alexandra Zinke (Goethe Universität Frankfurt)

• 20. Juni 2023 (Gastvortrag)
  19:30 Uhr, Gebäude A2.4, Seminarraum II A (Raum 2.16)
  Elijah Millgram (Salt Lake City)
  "Liar, Liar, Pants on Fire"

• 21. Juni 2023(Gastvortrag)
  18:15 Uhr, Gebäudes B2.2, Hörsaal II (Raum 1.08)
  Andreas Cassee (Universität Mannheim)
  "Eigentumsrechte, zukünftige Generationen und das Problem normativer
  Verschmutzung"

• 09.11.2022 Vortrag von Kai F. Wehmeier (UC Irvine, USA)
  "Das logische Problem der Identität und seine Lösung bei Frege, Russell und Wittgenstein"
  Geb. B2.2, Hörsaal II

• 06.07.2022 Vortrag von Wolfgang Spohn (Tübingen)
  Geb B2.2, Hörsaal 1 (Raum 0.06) im E

• 08.06.2022 Vortrag von Linda Merkel (Potsdam)
  "Im Zweifel lesen - Philosophieren mit narrativen Texten" (Vortrag zur Fachdidaktik)
  Geb. B2.2, Hörsaal 1 (Raum 0.06) im EG

• 21.10.2021 (Explainable AI and Society)
  
  18:15 Uhr – Online-Vortrag von Georg Borges (Saarbrücken)
  "Discrimination by AI systems: An Analysis from a Legal Perspective"
  Anmeldung und weitere Informationen unter www.eis.science/lectures.

• 17.11.2021 (Kolloquium Theoretische Philosophie)
  
  16:15 Uhr – Vortrag von Stefan Roski (Saarbrücken/Hamburg)
  "In Defense of Explanatory Realism"

• 18.11.2021 (Explainable AI and Society)
  
  18:15 Uhr – Online-Vortrag von Thomas Franke & Tim Schrills (Lübeck)
  "Action Regulation in Human-AI-Interaction: The Psychology of Intelligent Automation"
  Anmeldung und weitere Informationen unter www.eis.science/lectures.

• 16.12.2021 (Explainable AI and Society)
  
  18:15 Uhr – Hybrid-Vortrag von Isabel Valera (Saarbrücken)
  "Algorithmic recourse: Theory and Practice"
  Anmeldung und weitere Informationen unter www.eis.science/lectures.

• 05.01.2022 (Kolloquium Theoretische Philosophie)
  
  16:15 Uhr – Vortrag von Roberta Cubisino (Saarbrücken)

• 20.01.2022 (Explainable AI and Society)
  
  18:15 Uhr – Online-Vortrag von Emily Sullivan (Eindhoven University of Technology)
  "Explaining Machine Learning: A New Kind of Idealization?"
  Anmeldung und weitere Informationen unter www.eis.science/lectures.

• 05.01.2022 (Kolloquium Theoretische Philosophie)
  
  16:15 Uhr – Vortrag von Daniel Oster (Saarbrücken)