mlsanityData to 14 Oct 2026

"I made this (sort of)": Negotiating authorship, confronting fraudulence, and exploring new musical spaces with prompt-based AI music generation

arXiv 2507.23365 ↗First posted 31 Jul 2025cs.SD cs.AI eess.AScited by 0

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Abstract (arXiv)

I reflect on my experience creating two music albums centered on state-of-the-art prompt-based AI music generation platforms. The first album explicitly poses the question: What happens when I collide my junk mail with these platforms? The second album is a direct response to the first, and toys with the inability of state-of-the-art prompt-based AI music generation platforms to generate music that is not ``practiced'', ``polished'', and ``produced''. I seed a large language model (LLM) with information about these albums and have it interview me, which results in the exploration of several deeper questions: To what extent am I the author? Where am I in the resulting music? How is my musical identity changing as I am faced with machines that are in some ways far more talented than I? What new musical spaces does my work open, for me or anyone/thing else? I conclude by reflecting on my reflections, as well as LLM-mediated self-reflection as method.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 15 of its 61 references that are in the map. First posted on arXiv 31 Jul 2025.

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15 of 61 references.

References · 15

  1. 2023MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journalingcited by 50
  2. 2022How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Modelscited by 44
  3. 2023Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineeringcited by 43
  4. 2023PromptCARE: Prompt Copyright Protection by Watermark Injection and Verificationcited by 32
  5. 2015Deep Learning and Music Adversariescited by 20
  6. 2024Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classroomscited by 20
  7. 2019Autonomy, Authenticity, Authorship and Intention in computer generated artcited by 18
  8. 2020Reliable Local Explanations for Machine Listeningcited by 18
  9. 2024Robots in the Middle: Evaluating LLMs in Dispute Resolutioncited by 14
  10. 2013The GTZAN dataset: Its contents, its faults, their effects on evaluation, and its future usecited by 11
  11. 2019GAN-based Generation and Automatic Selection of Explanations for Neural Networkscited by 5
  12. 2024ExploreSelf: Fostering User-driven Exploration and Reflection on Personal Challenges with Adaptive Guidance by Large Language Modelscited by 5
3 more
  1. 2020Score-informed Networks for Music Performance Assessmentcited by 4
  2. 2016The "Horse'' Inside: Seeking Causes Behind the Behaviours of Music Content Analysis Systemscited by 2
  3. 2024Rethinking ChatGPT's Success: Usability and Cognitive Behaviors Enabled by Auto-regressive LLMs' Promptingcited by 1

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