Campus Event Calendar
Event Entry
What and Who
Causethical ML: Promises & Challenges
Isabel Valera
Fachrichtung Informatik - Saarbrücken
Joint Lecture Series
AG 1, AG 2, AG 3, INET, AG 4, AG 5, D6, SWS, RG1, MMCI
Public Audience
English
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Date, Time and Location
Wednesday, 11 October 2023
12:15
60 Minutes
E1 5
002
Saarbrücken
Abstract
In this talk I will give an overview of the role of causality in ethical machine learning, and in particular, in fair and explainable ML. In particular, I will first detail how to use causal reasoning to study fairness and interpretability problems in algorithmic decision making, stressing the main limitations that we encounter when aiming to address these problems in practice. Then, I will provide some hints about how to solve some of these limitations.
Contact
Jennifer Müller
+49 681 9325 2900
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Virtual Meeting Details
Zoom
997 1565 5535
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Jennifer Müller, 10/04/2023 10:39 -- Created document.