Trustworthy AI and Data-Sharing Spaces for the Slovak Music Centre

This poster, Trustworthy AI and Data-Sharing Spaces for the Slovak Music Centre, was presented at the IAMIC Conference 2024 on November 21, 2024, at Music Austria, Vienna. It explores how collective management organisations (CMOs) and music information centres (MICs) can adapt to the algorithm-driven discovery era by adopting modern data enrichment and federation practices. The Slovak Comprehensive Music Database (SKCMDb) serves as a case study for building a national, interoperable data-sharing space aligned with the European Interoperability Framework (EIF) and the European Collaborative Cloud for Cultural Heritage (ECCCH). The poster outlines strategies for integrating public and private data, mitigating algorithmic bias through “trustworthy AI,” and federating regional or genre-specific music data spaces into a decentralized European Music Observatory.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-23
DOI
https://doi.org/10.5281/zenodo.16540604
Primary Topic
Diverse Musicological Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Trustworthy AI and Data-Sharing Spaces for the Slovak Music Centre

Zenodo (CERN European Organization for Nuclear Research)
Diverse Musicological Studies
article

Trustworthy AI and Data-Sharing Spaces for the Slovak Music Centre

article en

Abstract

This poster, Trustworthy AI and Data-Sharing Spaces for the Slovak Music Centre, was presented at the IAMIC Conference 2024 on November 21, 2024, at Music Austria, Vienna. It explores how collective management organisations (CMOs) and music information centres (MICs) can adapt to the algorithm-driven discovery era by adopting modern data enrichment and federation practices. The Slovak Comprehensive Music Database (SKCMDb) serves as a case study for building a national, interoperable data-sharing space aligned with the European Interoperability Framework (EIF) and the European Collaborative Cloud for Cultural Heritage (ECCCH). The poster outlines strategies for integrating public and private data, mitigating algorithmic bias through “trustworthy AI,” and federating regional or genre-specific music data spaces into a decentralized European Music Observatory.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 47%
Diverse Musicological Studies
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