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Unsupervised Pleasures

Unsupervised Pleasures is a DIY community library and practice space for people interested in using queer methodologies, glitch feminism, decolonial and other non-normative frameworks to make friends and un/make things with AI.

Who is this by/for?

We are artists interested in working with texts and AI using our own archives and “small data”. We want to explore ways of practicing care and support through our technological ecosystems. We want to deepen how we bring queer, glitch feminist, and decolonial methodologies into our everyday lives and work. We want to experiment with glitch, error, and infecting the larger AI systems with a plurality of stories as a strategy of resistance. We are curious to learn if/how these approaches can help us find openings, write new narratives, and create spaces that can hold us in ways that these systems were not designed to.

Our Goals

Who is tending this garden?

Emily Martinez, a new media artist working with machine learning, queer technologies, and consensual tech. Emily is a 1st generation immigrant/refugee (Cuba > Miami) and a self-taught coder who believes in the tactical misuse of technology. Their art has been exhibited internationally, mostly thru collaborations with Anxious to Make and Queer AI. They started Unsupervised Pleasures as part of their ML5.js Fellowship project to document some of their research and experiments with GPT-2.

Sarah Ciston, a PhD candidate in Media Arts and Practice at USC who is developing an Intersectional AI Toolkit. Sarah is a self-described “poet-programmer who loves building community through creative-critical code”.

Sarah and Emily both love making zines, building language bots, and are actively working on creating their first dataset collection focused on an ethics of care and mutual aid, and philosophies rooted in love and reciprocity.

How can I learn more?

Join Us