학술논문
AI (r)evolution -- where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning
Document Type
Working Paper
Author
Bindi, Giovanni; Demerlé, Nils; Diaz, Rodrigo; Genova, David; Golvet, Aliénor; Hayes, Ben; Huang, Jiawen; Liu, Lele; Martos, Vincent; Nabi, Sarah; Pelinski, Teresa; Renault, Lenny; Sarkar, Saurjya; Sarmento, Pedro; Vahidi, Cyrus; Wolstanholme, Lewis; Zhang, Yixiao; Roebel, Axel; Bryan-Kinns, Nick; Giavitto, Jean-Louis; Barthet, Mathieu
Source
Subject
Language
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.