GEÄNDERTES PROGRAMM

Lorenzo Porcaro, Sapienza University of Rome

In this talk I will present Algorithmic Auditing for Music Discoverability (AA4MD), a Marie Skłodowska-Curie Actions initiative aiming to explore and mitigate problematic behaviors in music recommendation systems that limit exposure to culturally diverse content. Indeed, as streaming platforms and algorithmic recommenders increasingly mediate how audiences discover music, concerns have emerged around fairness, inclusion, non-discrimination, and transparency. A4MD adopts a human-centred auditing approach: combining qualitative and quantitative methods to understand user experiences; developing a web-based tool for large-scale audits of real recommender systems; and deriving policy recommendations to support more inclusive music discoverability. By involving end users directly in the auditing process, the project seeks not only to identify bias or hidden filters in existing systems but also to pave the way for system designs and policies that amplify under-represented music.

Lorenzo Porcaro is a research scientist specialising in recommender systems with a particular focus on algorithmic auditing. He is currently a Marie Skłodowska-Curie Postdoctoral Fellow at Sapienza University of Rome, leading the project Algorithmic Auditing for Music Discoverability (AA4MD). Lorenzo holds a PhD from Universitat Pompeu Fabra, where his doctoral work investigated how diversity in music recommendations affects listener behaviour and perception. Before his PhD, Lorenzo gained industry experience in music data engineering at Soundcloud and BMAT, and he later worked as Scientific Project Officer at the European Commission’s Joint Research Centre, contributing to the European Centre for Algorithmic Transparency.

In englischer Sprache

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Veranstaltung in meinen Kalender aufnehmen

Eine Veranstaltung in Kooperation mit: Univ.-Prof. Dr. Roland Kwitt, Abteilung Computer Vision and Machine Learning, Fachbereich Artificial Intelligence and Human Interfaces (AIHI), Universität Salzburg

Idee, Konzeption und Organisation
Christine Bauer (Professorin für Interactive Intelligent Systems am Fachbereich Artificial Intelligence and Human Interfaces (AIHI), Leiterin PB InterMediation | Universität Salzburg)
Katarzyna Grebosz-Haring (Systematische Musikwissenschafterin | PB InterMediation, Interuniversitäre Einrichtung Wissenschaft und Kunst | Universität Mozarteum Salzburg)
Martin Losert (Instrumentalpädagoge, Leiter Department Musikpädagogik, Leiter PB InterMediation | Universität Mozarteum Salzburg)

Die öffentlichen Vorträge werden durch begleitende Termine für Studierende ergänzt (Anmeldung siehe Plus- bzw. Moz-Online LV-Nr. 901.955).