Christine Bauer
Christine Bauer
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Recent & Upcoming Talks
Image credit:
Kurt Hörbst
, 2020.
Keynote: K.I. in der Musikbranche: Last oder Lösung?—Ethische Fragen im Zusammenhang mit Algorithmen
Keynote at Future Music Camp 2023.
25 May 2023
Video
Program
AI—Pandoras Box oder Heiliger Gral?
Panelist on artificial intelligence in the music sector at ‘Bzzzz - Konferenz der österreichischen Musikwirtschaft’, by the Austrian professional association for the film and music industry.
Christine Bauer
,
Thomas Lidy
,
Franz Medwenitsch
,
Claudia Zettel
5 May 2023
Trustworthy MIR: Creating MIR applications with values
Tutorial on Trustworthy Music Information Retrieval at ISMIR 2022.
Christine Bauer
,
Andrés Ferraro
,
Emilia Gómez
,
Lorenzo Porcaro
4 December 2022
Slides
Video
PERSPECTIVES 2022: Perspectives on the evaluation of recommender systems
2nd Workshop on the Perspectives on the evaluation of recommender systems, co-located with RecSys 2022.
Eva Zangerle
,
Christine Bauer
,
Alan Said
22 September 2022
Project
Proceedings
Keynote video
Panelist at the Doctoral Symposium of RecSys 2022: PhD and career journey
Panelist at the Doctoral Symposium of the 16th ACM Conference on Recommender Systems (RecSys 2022).
Christine Bauer
,
Robin Burke
,
Tara Safavi
,
Tao Ye
,
Yi Zhang
18 September 2022
Werteorientierte Empfehlungssysteme in den Medien—Realität oder Utopie?
Invited talk at the 3rd Virtual Meetup of the German-speaking community on user-centered AI.
30 June 2022
To flip or not to flip: conformity effect across cultures
Presentation at the Dutch Post-CHI 2022 event in Amsterdam.
21 June 2022
Project
Poster
Slides
Fairness—Are algorithms a burden or a solution?
Invited talk at the MediaFutures Seminar at the University of Bergen.
21 April 2022
Project
Slides
Video
Context matters: An example of country context in music recommender systems
Invited talk at the Department of Computer Science at the Universität Innsbruck.
7 April 2022
Project
What is fair? The artists' perspective on music recommenders
Invited talk at the Music and Audio Research lab—a research school within New York University.
6 April 2022
Project
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