Keynote by Xavier Serra at the AES International Conference on Artificial Intelligence and Machine Learning for Audio

Keynote by Xavier Serra at the AES International Conference on Artificial Intelligence and Machine Learning for Audio

The talk will focus on ethics in MIR research for trustworthy AI
28.08.2025

Imatge inicial -

The first AES conference dedicated to artificial intelligence and machine learning applied to audio is a 3-day event aimed at bringing the community together, educating, demonstrating, and advancing the state of the art. From September 8 to 10, 2025, it will feature keynote speakers, workshops, tutorials, challenges, and cutting-edge peer-reviewed research.

The Keynote by Xavier Serra, "Ethical MIR Research for Trustworthy AI: Principles, Challenges, and Practices", on September 10, will explore the urgent need for ethical, transparent, and culturally sensitive research in Music Information Retrieval (MIR).

The talk will argue for the importance of rethinking MIR research in the context of trustworthy AI, grounding the discussion in a set of ethical principles—respect for creative integrity, cultural sensitivity, user agency, and fairness. Building on these foundations, Xavier Serra will explore key research directions that emerge from such a commitment, including the development of culturally diverse datasets, tools for attribution and content provenance, mechanisms for bias detection and mitigation, and the design of explainable, open, and user-controllable AI systems, emphasizing the need for AI to support—not replace—human creativity, and advocating for collaborative platforms that foster meaningful interaction between humans and machines.
 
Throughout the talk, these ideas will be illustrated with examples from ongoing projects at the Music Technology Group (MTG), showcasing how our work strives to balance technological innovation with ethical responsibility, cultural awareness, and openness. The aim is to outline a roadmap for a more inclusive, responsible, and impactful future for AI and MIR research.

Information: https://aesaimla2025.sched.com/event/28OcZ

Video: https://youtu.be/TP2GIosIe0o

 

Activity in the frame of:

Cátedra UPF-BMAT en Inteligencia Articial y Música (TSI-100929-2023-1). Project funded by Secretaría de Estado de Digitalización e Inteligencia Artificial, the European Union-Next Generation EU, and by BMAT Music Innovators, the Music Operating System