Perspectives on AI and Music
Representation, Detection, and Explanation in the Age of AI-Generated Music
Time: Mon 2025-12-08 15.00
Location: Q2, Malvinas väg 10, Stockholm
Language: English
Subject area: Speech and Music Communication
Doctoral student: Laura Cros Vila , Tal, musik och hörsel, TMH
Opponent: Assistant Professor Ashley Burgoyne, University of Amsterdam, Amsterdam, The Netherlands
Supervisor: Associate professor Bob Sturm, Tal, musik och hörsel, TMH
QC 20251106
Abstract
The development and commercial exploitation of AI systems for generating music is impacting how music is created, distributed, and used. This thesis addresses three pressing technical challenges posed by these impacts: (1) how to develop systematic methods for evaluating and representing AI-generated music, including statistical tests and melodic analysis; (2) how to define and build music AI detection systems, revealing vulnerabilities to platform bias and audio manipulation; and (3) how to reframe Explainable AI (XAI) as a communication problem, identifying misalignment risks between AI explanations and human interpretation. The results contribute practical methods for music analysis and detection using AI, and highlight key limitations in current approaches. Overall, this thesis lays a foundation for future work on robust evaluation frameworks and improved explanation methods tailored for music AI systems.