Talks and Panels

Portrait of Christine Bauer Image credit: Kurt Hörbst, 2020.

Fairness in algorithmic decision-making: The effects of bias mitigation strategies in music recommender systems
Invited talk for the “Forschungsseminar BWL” at the Department of Business at Paris Lodron University Salzburg.
Christine Bauer
20 November 2024
Project
Where are the values? A systematic literature review on news recommender systems
Invited talk at the 18th ACM Conference on Recommender Systems (RecSys 2024) as awardee of the Women in RecSys Journal Paper of the Year Award 2024, Senior category.
Christine Bauer
17 October 2024
Project Slides Women in RecSys Journal Paper of the Year Award 2024, Senior category
Where are the values? A systematic literature review on news recommender systems
Unraveling the context of context
Keynote at CRUM-HAAPIE 2024.
3 July 2024
Slides
Unraveling the context of context
Generative KI, Text- und Data-Mining aus technischer Sicht
Talk at the conference “30. DGRI-D-A-CH-Tagung”.
29 June 2024
Program
Generative KI, Text- und Data-Mining aus technischer Sicht
KI und Kulturorganisationen
Panel at Forum Kultur.
Patrik Ager, Peter Aufreiter, Christine Bauer, S()fia Braga, Alexander Dumreicher-Ivanceanu, Klara Koštal, Christine Maass, Stephanie Meisl, Magdalena Reiter, Matthias Röder
27 June 2024
Program
KI und Kulturorganisationen
Künstliche Intelligenz in Kunst und Kultur: Risiken und Chancen
Panel at Forum Kultur.
Christine Bauer, Nina George, Paul Nemitz, Wolfgang Ullrich, Marlies Wirth, Claudia Zettel
27 June 2024
Video Program
Künstliche Intelligenz in Kunst und Kultur: Risiken und Chancen
Generative Künstliche Intelligenz—Fluch oder Segen?
Talk and panel at Fachtagung für Urheberrecht 2024.
Christine Bauer, Anna Katharina Tipotsch, Alexander Pabst, Christian Auinger
15 March 2024
Slides
Generative Künstliche Intelligenz—Fluch oder Segen?
Music recommendation systems: what is fair from the artists' perspectives?
Talk at Karajan Music Tech Conference 2024.
7 March 2024
Music recommendation systems: what is fair from the artists' perspectives?
Wie funktionieren (Musik-) Empfehlungssysteme? Und ist es für alle fair, was ich zu hören bekomme?
Talk at i-Day 2024 for future students.
7 February 2024
Wie funktionieren (Musik-) Empfehlungssysteme? Und ist es für alle fair, was ich zu hören bekomme?
Breaking feedback loops in recommender systems: an example on mitigating artist gender bias in the music domain
Invited talk at the University of Regensburg.
18 December 2023
Project
Breaking feedback loops in recommender systems: an example on mitigating artist gender bias in the music domain