About
Unsupervised Pleasures
Unsupervised Pleasures is a community of AI practicioners interested in ethical experimentation, p2p education, and DIY cultural production.
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, 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
- Making AI more accessible and pleasurable for beginners in a supportive environment.
- Centering historically excluded and misrepresented people and knowledge, respectfully and consensually.
- Developing deeper practice with queer, feminist, and decolonial methodologies.
- Working with language models
- Working with “no code” tools that lower barrier to entry and allow us to prototype and test ideas with ease
- Setting up guidelines for preparing datasets that respect the contributors and protect their data sources.
- Making machine learning models from “scratch” and fine-tuning LLMs with our custom datasets
- Creating zines
Who is tending this garden?
Emily Martinez is a new media artist, 1st generation immigrant/refugee (Cuba > Miami), and a self-taught coder who believes in the tactical misuse of technology. She started Unsupervised Pleasures as part of her ML5.js Fellowship project to document some of her research and experiments with LLMs.
Sarah Ciston is a self-described poet-programmer who loves building community through critical-creative code and bringing Intersectional approaches to AI. They are a PhD candidate in Media Arts and Practice at USC and Artistic Research Resident at AI Anarchies in Berlin.