'Models for Making Distance' is a print zine gathering a multiplicity of manifestos, writing and instructions for art that confounds, confuses and misuses algorithmic systems for the pleasure of human observers or actors. It is a playful but earnest bid for placing distance between ourselves and the tools designed to measure us.
Volume 1 was conceived by ARRG! --ARRG! is a loosely knit, unfunded cohort of artists, researchers and activists focused on exploring new forms of critical distance and creative agency over algorithmic culture. We are engaged in the creative misuse of Generative AI, Machine Learning, and other automated data analysis systems. We favor work that deliberately confuses, subverts or recontextualizes the outputs of AI and ML systems. It speaks to the exploration and curiosity about systems that link hacking culture and creative production. We favor work that reveals the underlying technical systems, but also their relationships within larger social, ecological, cultural, or political systems.
Support for this project was provided by the Critical Futures Lab at Northeastern University’s College of Arts, Media, and Design. With thanks and gratitude to Padmini Ray Murray for inspiration and insight that helped to incubate this project.
Editors: Eryk Salvaggio, Caroline Sinders, Laura Forlano, Steph Maj Swanson, Sherry Wong
Design: Roxy Zeiher
Edition of 200. 52 Pages.
