AI (r)evolution -- where are we heading? Thoughts about the future of
music and sound technologies in the era of deep learning
- URL: http://arxiv.org/abs/2310.18320v1
- Date: Wed, 20 Sep 2023 15:53:36 GMT
- Title: AI (r)evolution -- where are we heading? Thoughts about the future of
music and sound technologies in the era of deep learning
- Authors: Giovanni Bindi, Nils Demerl\'e, Rodrigo Diaz, David Genova, Ali\'enor
Golvet, Ben Hayes, Jiawen Huang, Lele Liu, Vincent Martos, Sarah Nabi, Teresa
Pelinski, Lenny Renault, Saurjya Sarkar, Pedro Sarmento, Cyrus Vahidi, Lewis
Wolstanholme, Yixiao Zhang, Axel Roebel, Nick Bryan-Kinns, Jean-Louis
Giavitto, Mathieu Barthet
- Abstract summary: Report presents a summary of the student debates on the topics of: Data, Impact, and the Environment; Responsible Innovation and Creative Practice; Creativity and Bias; and From Tools to the Singularity.
The students represent the future generation of AI and music researchers. The academics represent the incumbent establishment. The student debates reported here capture visions, dreams, concerns, uncertainties, and contentious issues for the future of AI and music as the establishment is rightfully challenged by the next generation.
- Score: 11.809589907446632
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Artificial Intelligence (AI) technologies such as deep learning are evolving
very quickly bringing many changes to our everyday lives. To explore the future
impact and potential of AI in the field of music and sound technologies a
doctoral day was held between Queen Mary University of London (QMUL, UK) and
Sciences et Technologies de la Musique et du Son (STMS, France). Prompt
questions about current trends in AI and music were generated by academics from
QMUL and STMS. Students from the two institutions then debated these questions.
This report presents a summary of the student debates on the topics of: Data,
Impact, and the Environment; Responsible Innovation and Creative Practice;
Creativity and Bias; and From Tools to the Singularity. The students represent
the future generation of AI and music researchers. The academics represent the
incumbent establishment. The student debates reported here capture visions,
dreams, concerns, uncertainties, and contentious issues for the future of AI
and music as the establishment is rightfully challenged by the next generation.
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