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31.3. From Music to responsible AI

Researcherand Pianist, 
Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology/TU Delft, Netherlands

One of the major challenges in achieving trustworthy and responsible AI, is validating whether the systems we build actually do what we wish for them to do. In this, the balance needs to be found between that what can be measured, and that what we wish to achieve; here, mathematics, requirements, and human interpretation meet.
In this lecture, I will discuss how the music domain has been a fertile ground for thinking about such questions, touching upon music signal representation, music interpretation, as well as music search and recommendation, from my both perspectives as an artist and technologist. Then, I will illustrate how this has helped me in my current projects in the broader space of trustworthy and responsible AI, touching upon inclusive information access, comprehensive testing strategies, and fair decision support systems.


Dr. Cynthia C. S. Liem is an Associate Professor in the Multimedia Computing Group of Delft University of Technology, The Netherlands, and pianist of the Magma Duo. Her research interests focus on making people discover new interests and content which would not trivially be retrieved in music and multimedia collections, assessing questions of validation and validity in data science, and fostering trustworthy and responsible AI applications when human-interpreted data is involved.
She initiated and co-coordinated the European research projects PHENICX (2013-2016) and TROMPA (2018-2021), focusing on technological enrichment of digital musical heritage, and participated as technical partner in an ERASMUS+ education innovation project on Big Data for Psychological Assessment. She gained industrial experience at Bell Labs Netherlands, Philips Research and Google. She was a recipient of the Lucent Global Science and Google Anita Borg Europe Memorial scholarships, the Google European Doctoral Fellowship 2010 in Multimedia, a finalist of the New Scientist Science Talent Award 2016 for young scientists committed to public outreach, Researcher-in-Residence 2018 at the National Library of The Netherlands, general chair of the ISMIR 2019 conference, and keynote speaker at the RecSys 2021 conference.
Presently, she co-leads the Future Libraries Lab with the National Library of The Netherlands, is track leader of the Trustworthy AI track in the AI for Fintech lab with the ING bank, holds a TU Delft.


Dieser Vortrag findet im Rahmen der Reihe Musik & Mathematik statt, die sich sich mit den interdisziplinären Ansätzen und Perspektiven zwischen Musik und Mathematik beschäftigt . Die Durchführung und Gestaltung erfolgt gemeinsam mit internationalen Expertinnen und Experten aus den Bereichen Mathematik, Statistik, Computerwissenschaften, Komposition und Musikforschung und eröffnet Einblicke in die aktuellen Forschungen und Entwicklungen in den Grenzbereichen zwischen den Wissenschaftssparten. Die jeweiligen Vorträge sind auch Teil einer disziplinübergreifenden Lehrveranstaltung, in der an den Schnittstellen der Disziplinen jeweils Themen aus dem Forschungsumfeld der eingeladenen Vortragenden diskutiert werden.

Idee und Leitung Reihe „Musik & Mathematik“:

  • Arne Bathke (Statistiker, Data Scientist, Leiter PB (Inter)Mediation | FB Artificial Intelligence and Human Interfaces, Universität Salzburg)
  • Katarzyna Grebosz-Haring (Systematische Musikwissenschafterin| Department Musikpädagogik, PB (Inter)Mediation | Mozarteum Salzburg)
  • Martin Losert (Musikpädagoge, Saxophonist, Leiter Department Musikpädagogik, Leiter PB (Inter)Mediation | Mozarteum Salzburg)

Eine Zusammenarbeit von (Inter)Mediation mit dem Fachbereich Artificial Intelligence and Human Interfaces der Universität Salzburg und dem Eliette und Herbert von Karajan Institut

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