AI as Interpretive Sounding Board: A Case Study in Songwriting

A recent study published on arXiv (2608.13944) investigates the role of AI as a reflective tool in creative endeavors, challenging the conventional sequence of AI output followed by human refinement. The researcher utilizes Hartmut Rosa's resonance theory to present a personal case study of songwriting conducted from July 2025 to March 2026, featuring 16 original works in English, French, and other languages, alongside piano compositions. The findings indicate that resonance occurs not between the user and the AI model, but through the author’s enhanced engagement with their own creations, facilitated by the AI. When the user maintained consistent calibration, AI fostered this resonance; however, a lack of calibration led to two problematic outcomes: sycophantic drift and magical overinterpretation. This narrative highlights both the possibilities and dangers of AI as a collaborative partner in artistic processes.