The rise of Generative Artificial Intelligence (GenAI) is transforming the role of end users. We investigate human-AI collaboration in music composition as an illustrative example. Existing studies analyze the impact of current AI music models on composers, focusing on challenges and strategies for interaction. However, these studies often neglect the multifaceted nature of music composition, influenced by personal aspirations, social and cultural context, and distinct genre characteristics. We propose an ethnographic approach to explore composers’ practices and needs, which can inform the design of human-AI collaborative tools that empower and support them.

Redefining the User in Human-Generative AI Collaboration: Insights from Music Composition

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

Abstract

The rise of Generative Artificial Intelligence (GenAI) is transforming the role of end users. We investigate human-AI collaboration in music composition as an illustrative example. Existing studies analyze the impact of current AI music models on composers, focusing on challenges and strategies for interaction. However, these studies often neglect the multifaceted nature of music composition, influenced by personal aspirations, social and cultural context, and distinct genre characteristics. We propose an ethnographic approach to explore composers’ practices and needs, which can inform the design of human-AI collaborative tools that empower and support them.
2024
8th International Workshop on Cultures of Participation in the Digital Age: Differentiating and Deepening the Concept of "End User" in the Digital Age, CoPDA 2024
Arenzano, Italia
2024
CEUR Workshop Proceedings
CEUR-WS
3685
1
6
Generative AI; Human-AI Collaboration; Music Composition; User role
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/2318/1981110
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