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10 resources
A global participatory research initiative spanning nine countries where data workers themselves become community researchers, documenting labor conditions in the AI industry through zines, documentaries, comics, essays, podcasts and animations. Inquiries cover workers at Sama, CloudFactory and Remotasks in Kenya, Venezuela, Syria, Brazil, France and Germany.
An open-access scholarly article in the Business and Human Rights Journal (2025) by Jake Okechukwu Effoduh of Toronto Metropolitan University. It examines how Big Tech firms and local intermediaries perpetuate data exploitation, infrastructure dependency and algorithmic bias in Africa, drawing parallels between historical colonialism and the modern digital economy.
The first binding international treaty on AI, opened for signature in 2024, requiring signatories to keep AI consistent with human rights, democracy and the rule of law. The official site blocked the automated check, but this is a public treaty document.
A research project documenting the technologies used at borders and their effect on people who migrate.
Why I recommend it: Border technology is where the harshest systems get tested first.
Worker-led research and mental-health resources by and for the data annotators who label the material AI systems learn from.
Why I recommend it: Written by the workers themselves, not about them.
An advocacy organization working on the human cost of mineral extraction that supplies the global electronics and AI supply chain.
Why I recommend it: The hardware behind AI starts in mines — this is the part of the story most coverage skips.
A research group studying how technology is used in refugee and immigration systems, and the legal consequences.
Why I recommend it: Rigorous legal research on automated decisions in immigration.
Analysis based on interviews with 56 experts across 24 countries on how AI language models are used differently in the Global South and the human rights risks that follow.
Why I recommend it: A rare look at AI harms and benefits outside the US and Europe.
Report on how the datasets powering major AI systems depend on mass invasions of privacy by design.
Why I recommend it: Read this before you paste sensitive personal or client data into an AI tool.
Podcast interview with Maheen Khan (Invisible Institute) and Patrick Ball (HRDAG) on a coalition helping nonprofits protect evidence, cut big-tech dependence, and build independent AI capacity.
Why I recommend it: A concrete example of mission-driven tech work — good listening if you want your technical skills pointed at justice organizations.
