Creative ML Assemblages: The Interactive Politics of People, Processes, and Products

被引:0
作者
Shelby R. [1 ]
Srinivasan R. [2 ]
Burgdorf K. [3 ]
Lena J.C. [4 ]
Rostamzadeh N. [5 ]
机构
[1] Google Research, JusTech Lab Australian National University, San Francisco
[2] Google Research, Montréal
关键词
art & technology; assemblage; creative AI; cultural studies; machine learning;
D O I
10.1145/3637315
中图分类号
学科分类号
摘要
Creative ML tools are collaborative systems that afford artistic creativity through their myriad interactive relationships. We propose using “assemblage thinking" to support analyses of creative ML by approaching it as a system in which the elements of people, organizations, culture, practices, and technology constantly influence each other. We model these interactions as “coordinating elements" that give rise to the social and political characteristics of a particular creative ML context, and call attention to three dynamic elements of creative ML whose interactions provide unique context for the social impact a particular system has: people, creative processes, and products. As creative assemblages are highly contextual, we present these as analytical concepts that computing researchers can adapt to better understand the functioning of a particular system or phenomena and identify intervention points to foster desired change. This paper contributes to theorizing interactions with AI in the context of art, and how these interactions shape the production of algorithmic art. © 2024 Copyright held by the owner/author(s).
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