论文标题

在艺术实践中对人工智能的可持续性评估

Towards sustainability assessment of artificial intelligence in artistic practices

论文作者

Jääskeläinen, Petra, Pargman, Daniel, Holzapfel, André

论文摘要

越来越多的艺术家在创意实践中使用AI(创意-AI),到目前为止,他们的作品在著名的艺术场所变得可见。另一方面,研究界已经认识到,使用与能源消耗以及模型的规模和复杂性相关的AI技术存在可持续性问题。这两个矛盾的轨迹构成了我们研究的起点。在这里,我们讨论了目前正在进行的现场工作研究和大纲考虑的见解,以了解AI艺术的可持续性评估研究的各种限制。我们为在域中进一步,更具体的可持续性评估以及有关该领域可持续性评估的知识提供了基础。

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.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源