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Evaluation of music generated by artificial intelligence from a compositional perspective

Sayı: Yapay zekâ ve sanat özel sayısı 22 Ekim 2025
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Evaluation of music generated by artificial intelligence from a compositional perspective

Abstract

This study explores how music generated by artificial intelligence (AI) can be evaluated from a compositional perspective. As AI becomes more involved in music production, it challenges traditional notions of creativity and authorship. “The problem statement of this study is defined as addressing the theoretical gap concerning the evaluation of AI-generated music in the context of composition.” The study compares AI-generated music and human composition in terms of aesthetic value, originality, and coherence. Findings from recent literature show that while AI can create technically competent and musically pleasing works, it lacks emotional depth, creative intuition, and artistic intent. Therefore, AI is seen not as a composer but as a supportive tool that enhances the creative process. This study contributes to ongoing theoretical debates about AI’s role in contemporary music composition.

Keywords

Kaynakça

  1. Arielli, E. (2024a). Even an AI could do that. In E. Arielli & L. Manovich (Eds.), Artificial aesthetics: Generative AI, art and visual media (pp. 8–24). Retrieved from https://manovich.net/index.php/projects/artificial-aesthetics
  2. Arielli, E. (2024b). Human perception and the artificial gaze. In E. Arielli & L. Manovich (Eds.), Artificial aesthetics: Generative AI, art and visual media (pp. 95–117). Retrieved from https://manovich.net/index.php/projects/artificial-aesthetics
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Ayrıntılar

Birincil Dil

İngilizce

Konular

Medya Teknolojileri

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

22 Ekim 2025

Gönderilme Tarihi

15 Temmuz 2025

Kabul Tarihi

12 Ekim 2025

Yayımlandığı Sayı

Yıl 2025 Sayı: Yapay zekâ ve sanat özel sayısı

Kaynak Göster

APA
Oyan Küpeli, S. (2025). Evaluation of music generated by artificial intelligence from a compositional perspective. ARTS: Artuklu Sanat ve Beşeri Bilimler Dergisi, Yapay zekâ ve sanat özel sayısı, 239-261. https://doi.org/10.46372/arts.1743089