As AI becomes increasingly generative, the role of humans in creative processes is being redefined. We focus on music composition as a case study to explore the nature of human-AI collaboration. We advocate for a qualitative and ethnographic study that delves into the practices and needs of music composers. By understanding the situated nature of music creation, we aim to uncover insights that can inform the design of more effective human-AI collaborative tools that support composers’ creative practices instead of replacing them.

Human-AI Collaboration Insights from Music Composition

Luigi Di Caro;Amon Rapp
Last
2024-01-01

Abstract

As AI becomes increasingly generative, the role of humans in creative processes is being redefined. We focus on music composition as a case study to explore the nature of human-AI collaboration. We advocate for a qualitative and ethnographic study that delves into the practices and needs of music composers. By understanding the situated nature of music creation, we aim to uncover insights that can inform the design of more effective human-AI collaborative tools that support composers’ creative practices instead of replacing them.
2024
GenAICHI 2024: Generative AI and HCI at CHI 2024
Honolulu, Hawaii
11 Agosto 2024
Generative AI and HCI Workshop Proceedings
GenAICHI 2024
1
5
https://generativeaiandhci.github.io/
Human-AI collaboration, Music Composition, Generative AI, Human-AI co-creation
Eric Tron Gianet; Luigi Di Caro; Amon Rapp
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1981130
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