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International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Research Highlights

  • The Problem: The rapid adoption of generative artificial intelligence in music composition and arranging raises unresolved challenges regarding authorship, copyright ownership, creative identity, and collective ensemble cohesion.

  • The Method: The researchers utilized human-centered AI (HCAI) frameworks and Expectancy Violation Theory (EVT) alongside basic qualitative analysis consisting of field interviews conducted between January and April 2026 with three music industry practitioners and educators.

  • Qualitative Finding: AI functions as an efficiency-enhancing exploratory engine across a five-stage compositional workflow (Analysis, Ideation, Development/Mockup, Pilot Performance, and Refinement) to accelerate creation and optimize workflow; AI cannot replicate human core capacities such as artistic taste, narrative judgment, emotional authenticity, and consistent output; professional music education must prioritize foundational musical training as a prerequisite for directing AI systems and developing critical AI literacy.

Abstract

AI-driven audio tools are reshaping musical creation, yet the most consequential shift is not automation of artistry but reconfiguration of collaboration, metacognition, and quality control within large ensembles. This paper examines how generative audio models, vocal synthesis platforms, and stem-splitting technologies can function as creative partners in music arranging and composition workflows, particularly in musical contexts where artistic coordination and interpretive judgment remain paramount. We position AI in music creation as analogous to the calculator in mathematics: widely available, efficiency-enhancing, and therefore unavoidable, while still requiring disciplined human oversight to preserve intent, style, and accountability. The paper surveys practical implementation and limitations, including iterative ideation, timbral experimentation, and rapid prototyping, while also addressing ethical issues of access, authorship, and disclosure. Readers will leave with a realistic understanding about how AI can augment creative craft without displacing professional expertise.

A link to a video presentation related to this paper can be found below in the Additional Files section.

Additional Files
Session 4.mp4 (591189 kB)
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