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Counteracting the "one giant model for everything" approach by BigTech, by empowering small, community-rooted organizations around the world building task specific models serving their needs. Read this interview and our paper.
Creating natural language processing tools, and using mixed methods (quantitative and qualitative) approaches to analyze the impacts of social media platforms on neglected countries and languages. Watch our short documentary on the topic.
Analyzing the impacts of South African apartheid using computer vision techniques and satellite imagery. Read our NeurIPS paper and this MIT Tech Review article, and check out our dataset and visualizations.
The goal of this guide is to support public-interest research that helps hold platforms accountable. The fact that data is technically publicly available does not mean that you should use it for whatever you want. Using social media data towards surveillance and profiteering is against the spirit of this guide!
Broad, near-future speculative pieces designed to de-center dominant narratives about technology and challenge us all to realize that things can be different. These are not alternative realities, they are possible futures.
Be sure to also check out our companion zine workshop series.
Guidelines for ethical data annotation and release practices without exploiting workers and stealing data.
Counteracting the "one giant model for everything" approach by BigTech by empowering small, community-rooted organizations around the world building task-specific models serving their needs. Check out the Huniki Federation website for more.
As people committed to shaping a better future, technologically and otherwise, it’s our job to carry on the kind of slow, intentional, future-making tasks marginalized people have always had to do.