Autoethnographic research has encountered challenges around verification, transparency and veracity of data, and issues have been debated due to its subjective nature (see Jones, 2010; Keeler, 2019; Méndez, 2013). Additional complications arise regarding neutrality and objectivity associated with the researchers’ identities and experiences being represented in autoethnographic accounts. The authors acknowledge that the accounts provided are subjective, and have influenced the research process and product.
Feral Chamber Music AI Process/Open Source Software: HUMAN, Google Flow Music, ChatGPT – DAW: Audacity…
A Catalog of Emergent Sonic Species AI Process/Open Source Software: HUMAN, Google Flow Music, ChatGPT, Meta.ai…
Music As Environment Rather Than Performance AI Process/Open Source Software: HUMAN, Google Flow Music, ChatGPT…
The Resilience Sessions AI Process/Open Source Software: HUMAN, Google Flow Music, ChatGPT – DAW: Audacity…
An Album Where Every Track Is A Variation Of The Same Core DNA Process/Software: HUMAN, ChatGPT,…
Music as Functional Human Infrastructure Process/Software: HUMAN, ChatGPT, Google Flow Music – DAW: Audacity 3.7.7,…