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Explainable AI for Data Science

Explainable AI is a recent and growing subfield of machine learning (ML) that aims to bring transparency into ML models without sacrificing their predictive accuracy. This seminar will explore current research on the use of Explainable AI for extracting insights from large datasets of interest. Use cases in biomedicine, chemistry and earth sciences will be covered.

Students will select a few papers from a pool of thematically relevant research papers, which they will read and present over the course of the semester.


Dozent/inDr. Grégoire Montavon
InstitutionAG Künstliche Intelligenz und Maschinelles Lernen
Institut für Informatik
Fachbereich Mathematik und Informatik
SemesterWintersemester 2022/2023
RaumTakustr. 9, SR006
Beginn21.10.2022 | 14:00
Ende17.02.2023 | 16:00

Friday 2 - 4 a.m.

Links auf Kursbeschreibung