Composers' Evaluations of an AI Music Tool: Insights for Human-Centred Design

Autor:	Row, Eleanor, Fazekas, György
Rok vydání:	2024
Předmět:	Computer Science - Sound Computer Science - Artificial Intelligence Computer Science - Human-Computer Interaction Computer Science - Machine Learning Electrical Engineering and Systems Science - Audio and Speech Processing
Druh dokumentu:	Working Paper
Popis:	We present a study that explores the role of user-centred design in developing Generative AI (GenAI) tools for music composition. Through semi-structured interviews with professional composers, we gathered insights on a novel generative model for creating variations, highlighting concerns around trust, transparency, and ethical design. The findings helped form a feedback loop, guiding improvements to the model that emphasised traceability, transparency and explainability. They also revealed new areas for innovation, including novel features for controllability and research questions on the ethical and practical implementation of GenAI models. Comment: Accepted to NeurIPS 2024 Workshop on Generative AI and Creativity: A dialogue between machine learning researchers and creative professionals in Vancouver, Canada
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2412.10968 Zobrazit plný text záznamu View this record from Arxiv