ARTIFICIAL INTELLIGENCE IN MUSIC EDUCATION
ARTIFICIAL INTELLIGENCE IN MUSIC EDUCATION

Summary/Abstract: Artificial Intelligence (AI) is gradually becoming a significant component in music education due to the increasing demand for new technologies and their constant supply. While AI is an important tool, it remains a device, which makes sense only if it is contextualized. The efficiency of music education with AI depends very much on music theory and systemic circulation to research conversion methods between music media, identifying music videos, audio and emotion. AI could collect big music education data, model the teaching process, perform analytical and systemic research, and make quality suggestions on resource allocation. At the same time AI poses challenges related to the authorship and ownership of its products, liability and infringement of copyright protected content, attribution and regulations. Nevertheless, AI needs to be incorporated in any efficient music education model. While AI is gradually entering the creative space, it needs to be applied in a responsible manner, so as not to replace the human expression and reflect context. The article provides an overview of key concepts and research related to AI application in music education and analyzes the different uses of AI in teaching and learning. Against the background of existing research, it outlines the structural elements in music education and identifies the pros and cons of AI application in this field, its potential and limitations. Efficient music education and AI are closely related to the use of intellectual property hence the article pays specific attention to the challenges related to intellectual property rights evoked in the process of AI application in music education.

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