Christine Bauer
Christine Bauer
Bio
Awards & Honors
Funding
Publications
Talks
Teaching
Community Service
Media
Contact
fairness
Trustworthy MIR: Creating MIR applications with values
Tutorial on Trustworthy Music Information Retrieval at ISMIR 2022.
4 December 2022
Tutorial at ISMIR 2022: Trustworthy MIR: Creating MIR applications with values
Glad that we wild hold a tutorial at ISMIR 2022 on trustworthy music information retrieval (MIR). The goal is to create MIR applications with values.
25 June 2022
1 min read
news
Fairness in music recommender systems: a stakeholder-centered mini review
The performance of recommender systems highly impacts both music streaming platform users and the artists providing music. As fairness …
Karlijn Dinnissen
,
Christine Bauer
Cite
Project
DOI
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
Many talks last week
I had a busy week with talks. Great that we have not the opportunity for online talks to connect across continents.
9 April 2022
1 min read
news
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
Co-editing research topic on Human Issues in Recommender Systems
I’m happy to announce that I’m co-editing with Bruce Ferwerda a so-called research topic in Frontiers in Big Data (Recommender Systems) on Human Issues in Recommender Systems. For more information, see https://www.
16 August 2021
1 min read
news
Featured on UU's website for research on Equality, Diversity & Inclusion
What an honor that my recent work with Andrés Ferraro is featured as an example for research on Equality, Diversity & Inclusion at Utrecht University’s website. There is also a sneak peek to an upcoming work with Johanna Devaney.
2 July 2021
1 min read
news
Recent media presence
I am very happy that our CHIIR paper Break the Loop: Gender Imbalance in Music Recommenders with Andrés Ferraro and Xavier Serra received a lot of media attention. It will take a while until I can integrate all the media articles (that I am aware of) in my website.
3 May 2021
1 min read
news
The Conversation article on our CHIIR 2021 paper
This article is republished from The Conversation under a Creative Commons license. Read the original article. Music recommendation algorithms are unfair to female artists, but we can change that. Algorithms help lots of people discover new music.
30 March 2021
4 min read
news
CHIIR 2021 presentation: Break the Loop: Gender Imbalance in Music Recommenders
Andrés Ferraro will present our joint paper at CHIIR 2021. In the paper with the title Break the Loop: Gender Imbalance in Music Recommenders, we investigate the imbalance in music recommendations with respect to the artists gender.
14 March 2021
1 min read
news
Recording of panel on gender bias and discrimination in AI on YouTube
The recording of the panel on gender bias and discrimination in AI (in German) at the VUT Indie Days 2020 (as part of c/o pop xoxo) last week is now also available on YouTube.
26 October 2020
1 min read
news
Panelist at VUT Indie Days, co-located with c/o pop xoxo
I am happy to announce that I will be part of this year’s online edition of VUT Indie Days 2020, co-located with c/o pop xoxo. I will join the panel on Gender biases and discrimination in AI.
26 September 2020
1 min read
news
SpART: Spotlight on Artists in Recommenders Systems
The purpose of this project is to understand how current systems used to recommend music affect artists and to propose alternative solutions that could benefit the artists. The goal is to identify potential problems that affect artists, and to draw on the artists’ perspective about how future recommender systems could work.
Cite
×