Composers' Evaluations of an AI Music Tool: Insights for Human-Centred Design
This work addresses the design of AI tools for professional composers, but it is incremental as it builds on existing user-centered design principles without introducing major breakthroughs.
The study explored user-centered design for a generative AI music tool by interviewing professional composers, resulting in improvements focused on traceability, transparency, and explainability, and identifying new areas like controllability and ethical implementation.
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.