Fairness

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
Breaking feedback loops in recommender systems: an example on mitigating artist gender bias in the music domain
Music recommendation systems from the perspective of artists: what constitutes fairness?
Invited talk at JADS.
28 November 2023
Music recommendation systems from the perspective of artists: what constitutes fairness?
Looking at the FAccTs: exploring music industry professionals' perspectives on music streaming services and recommendations
Music recommender systems, commonly integrated into streaming services, help listeners find music. Previous research on such systems …
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Strategies for mitigating artist gender bias in music recommendation: a simulation study
Recommender systems are prone to various biases. Hence, bias mitigation approaches are needed to counteract those. In the music sector, …
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Musikempfehlungssysteme aus der Perspektive von Artists: Was ist fair?
Talk at the Symposion Musik & Mathematik.
2 June 2023
Program
Musikempfehlungssysteme aus der Perspektive von Artists: Was ist fair?
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
Keynote: K.I. in der Musikbranche: Last oder Lösung?—Ethische Fragen im Zusammenhang mit Algorithmen