Published November 4, 2019 | Version v1
Lesson Open

Fairness, Accountability and Transparency in Music Information Research (FAT-MIR)

  • 1. Joint Research Centre, European Commission and Universitat Pompeu Fabra
  • 2. Royal Institute of Technology
  • 3. Joint Research Centre, European Commission


This tutorial focuses on the timely issues of ethics, fairness, accountability and transparency, with particular attention paid to research in applications in music information research. These topics arise from a broader consideration of ethics in the field – related work of which was recently published in TISMIR ( These topics are also receiving attention in the broader domain of machine learning and data science, e.g., the FAT-Machine Learning (ML) conference 2014-2018, Explainable AI workshops 2017-2018, Interpretable Machine Learning workshops, and in the context of the HUMAINT project and winter school on ethical, legal, social and economic impact of Artificial Intelligence ( This tutorial is suitable for researchers and students in MIR working in any domain, as these issues are relevant for all MIR tasks, from low- to high-level, from system to user-centered research. There are no prerequisites for taking this tutorial.



Files (10.8 MB)

Name Size Download all
10.4 MB Preview Download
467.7 kB Preview Download

Additional details


TROMPA – Towards Richer Online Music Public-domain Archives 770376
European Commission