Seminar Tübingen-Nancy
Philosophical aspects of computer sciences – Ethics, Norms & Responsibility
Organisation : Maël Pégny, Reinhard Kahle, Thomas Piecha, Anna Zielinska, Cyrille Imbert
Carmela Troncoso
École polytechnique fédérale de Lausanne (EPFL), SPRING Lab
Mismatching concerns and definitions in current trends in machine learning
21 February 2022, Monday
17:00 (CET/heure de Paris)
Please register by clicking here (for this and for the future meetings of the seminar)
Recording: https://youtu.be/1W4JmZYX_70
Both the lecture and the discussion will be in English.
Lundi 21 février 2022, à 17h00, en ligne. L'exposé et la discussion auront lieu en anglais.
Abstract
In this talk we will revisit current approaches to fairness and privacy in machine learning, and take a critical look at the concerns they address. We will show that concerns are modeled in a narrow way, and therefore the proposed solutions fall short to provide the protections that are promised in the literature. We will look at three examples and discuss the implications of the mismatch on how these systems may affect society if deployed.
Our first season 2021-2022
15 November 2021
Maël Pégny
(Researcher at the Eberhard Karls Universität Tübingen, Carl Friedrich von Weiszäcker Zentrum)
Mathematizing fairness? On statistical metrics of algorithmic fairness
21 February 2022
Carmela Troncoso
(École polytechnique fédérale de Lausanne (EPFL), SPRING Lab)
Mismatching concerns and definitions in current trends in machine learning
21 March 2022
Marija Slavkovik
(Professor at the Department of Information Science and Media Studies at the University of Bergen)
Digital Voodoo Dolls
11 April 2022
Karoline Reinhardt
(Researcher at the Eberhard Karls Universität Tübingen, Internationales Zentrum für Ethik/IZEW)
Dimensions of trust in AI Ethics
For the recording of the seminar, please check here:
https://www.youtube.com/playlist?list=PL_7w_H-zjjuEqhh4gLTWg5MbmbTfGmXIU