Musicology and Artificial Intelligence
Authors/Creators
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1.
Centre National de la Recherche Scientifique
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2.
Utrecht University
Researcher (46):
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Ahrendt, Rebekah1
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Vendrix, Philippe2
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Arjmand, Ailin3
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Bellia, Angela4
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Besson, Vincent5
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ARGYRIOU, MARIA6
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Braud, Augustin7
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Burn, David8
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Cavicchi, Camilla9
- Dolce, Brianne
- Crogiez, Valentin
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Escriva-Llorca, Ferran10
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Fiala, David3
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Gasch, Stefan
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Hajič, Jr, Jan11
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Hamhuis, Sonja12
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Haug, Judith I.
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Iwaszko, Jacek13
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Joachimiak, Grzegorz14, 15
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Kirnbauer, Martin16
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Lartillot, Olivier17
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Lesemann-Elliott, Caro18
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Levaux, Christophe19
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Lici, Eliona
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Mancey, Katherine20, 1
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Martinez Sevilla, Juan Carlos21
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Meredith, David22
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Neumann, Joshua23
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Noorduin, Marten
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Pister, Aleksandra
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Plaksin, Anna24, 25
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Pugin, Laurent26, 27
- Quais, Mathis
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Rizo, David28, 29
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Roger, Kévin30, 31
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ROS-FÁBREGAS, EMILIO32
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Şahin, Nevin33
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Silva, Pedro34
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Thomae, Martha35
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Torre Molina, María José de la36
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Van Kranenburg, Peter
- Vavoulis, Vassilis
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Vrbanic, Vilena37
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Whittaker, Adam38, 39
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Wolf, Rebecca40
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Bennett, William
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1.
Utrecht University
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2.
Centre National de la Recherche Scientifique
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3.
Université de Tours
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4.
National Research Council
- 5. CNRS UMR 7323
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6.
University of the Aegean
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7.
Centre d'Etudes Supérieures de la Renaissance
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8.
Katholieke Universiteit Leuven
- 9. CNRS Délégation Paris B
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10.
Universitat de València
- 11. Charles University
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12.
Ministry of the Interior and Kingdom Relations
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13.
Fryderyk Chopin Institute
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14.
University of Wrocław
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15.
Karol Lipiński Academy of Music in Wrocław
- 16. Schola Cantorum Basiliensis / FHNW
- 17. University of Oslo
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18.
University of Oxford
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19.
Université Libre de Bruxelles
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20.
Harvard University
- 21. Universidad de Alicante
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22.
Aalborg University
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23.
Academy of Sciences and Literature
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24.
Paderborn University
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25.
Johannes Gutenberg University Mainz
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26.
University of Bern
- 27. RISM Digital Center
- 28. Instituto Superior de Enseñanzas Artísticas de la Comunidad Valenciana - ISEA.CV (Generalitat Valenciana)
- 29. University of Alicante
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30.
Université de Lorraine
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31.
Centre de Recherche Universitaire Lorrain d'Histoire
- 32. Consejo Superior de Investigaciones Científicas (CSIC), Institución Milá y Fontanals de Investigación en Humanidades
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33.
Hacettepe University
- 34. ESMAE – Escola Superior de Música, Artes e Espetáculo / CESEM
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35.
Universidade Nova de Lisboa
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36.
Universidad de Málaga
- 37. Sveučilište u Zagrebu Muzička akademija Zagreb
- 38. Royal Birmingham Conservatoire
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39.
Birmingham City University
- 40. Staatliches Institut für Musikforschung Preussischer Kulturbesitz
Description
This report provides an overview of Artificial Intelligence in European musicological research, addressed to musicologists, librarians, archivists, curators, educators, research-policy officers, infrastructure coordinators, and tool developers. Moving from conceptual foundations to institutional implications, it maps the affordances and limitations of AI-based models and tools for the discipline, while situating them within the European normative landscape defined by the ALLEA European Code of Conduct for Research Integrity, the EU Artificial Intelligence Act, and the UNESCO Recommendation on the Ethics of Artificial Intelligence.
The six complementary sections successively address: (1) methodological foundations, clarifying notions of model, tool, and critical posture, and surveying audio-, image-, encoding-, and language-model-based applications such as automatic music transcription, optical music recognition, score-audio alignment, automated analysis, reconstruction, and LLM prompting; (2) data infrastructure, covering FAIR/CARE governance, ontologies and persistent identifiers, European federated infrastructures, auditory digital twins, and risks of fragmentation, representational bias, quality variability, and copyright; (3) a continuation of the disciplinary stakes involved in source and corpus processing; (4) musicological education in the age of AI, including curricular redesign, AI literacy, and design models such as the Two-Lane Approach; (5) professional practices and responsibilities, examining scholarly credibility, intellectual property, academic integrity frameworks, cultural and creative industry collaborations, institutional and legal risks, gender equality, and lessons from organised labour; and (6) best practices, articulating methodological pluralism against technological determinism and formalising principles of ethical reflexivity, human oversight, explainability, reproducibility, and accountability.
Files
Early-Muse_3-Vendrix-Ahrendt_260616.pdf
Files
(22.9 MB)
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Additional details
Funding
- European Cooperation in Science and Technology
- EarlyMuse CA21161
Dates
- Copyrighted
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2026-06-16