AI (r)evolution -- where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning
It discusses potential problems and visions for AI in music, targeting researchers and practitioners, but is incremental as it reports on discussions rather than new findings.
The paper summarizes student debates from a doctoral day exploring the future impact of AI in music and sound technologies, covering topics like data, creativity, and responsible innovation, but presents no concrete results or numbers.
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.