Towards sustainability assessment of artificial intelligence in artistic practices
This work provides foundational knowledge for assessing sustainability in AI art, which is incremental as it sets the stage for more specific future studies.
The paper addresses the sustainability concerns of AI in artistic practices, such as energy consumption and model complexity, by discussing fieldwork insights and outlining considerations for sustainability assessment studies in AI art.
An increasing number of artists use Ai in their creative practices (Creative-Ai) and their works have by now become visible at prominent art venues. The research community has, on the other hand, recognized that there are sustainability concerns of using Ai technologies related to, for instance, energy consumption and the increasing size and complexity of models. These two conflicting trajectories constitute the starting point of our research. Here, we discuss insights from our currently on-going fieldwork research and outline considerations for drawing various limitations in sustainability assessment studies of Ai art. We provide ground for further, more specific sustainability assessments in the domain, as well as knowledge on the state of sustainability assessments in this domain.