Models For Making Distance will be 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. ARRG! (the Algorithmic Resistance Research Group) aims to create a low-cost paper publication gathering a variety of authors, activists and artists who navigate AI systems from a position of resistance. We are looking for those willing to contribute their work for documentation in this analog pamphlet among like-minded critics and digital malcontents. To avoid digital recuperation as training data, Models for Making Distance will be distributed in an analog-only format and feature a speculative CC-01 license which allows for full distribution by analog means, but prohibits digitization. Deadline for submissions: December 1, 2023.Additional details: The Algorithmic Resistance Research Group 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 links 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. ARRG! consists of whoever responds to a particular open call. This project’s team is Eryk Salvaggio, Caroline Sinders, Steph Maj Swanson and Şerife Wong, with thanks to Padmini Ray Murray. |
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