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Data Workers' Inquiry

Centering the experiences of data workers in machine learning by using the Workers' Inquiry approach to uncover opportunities for collaborative knowledge exchange and collective organizing. Go to https://data-workers.org to find zines, reports, documentaries, podcasts and more created by 16 data workers from 4 continents.

The logo for the Data Workers' Inquiry project, which features the outline of a monitor screen in red with a white megaphone on it and the words "Data Workers' Inquiry" in the middle.

Dataworkers Inquiry

The Data Workers inquiry is an attempt to adapt Marx’s 1880 Workers’ Inquiry to the phenomenon of data workers as both essential for contemporary AI applications yet precariously employed—if at all—and politically dispersed. We dedicate this page to reports, zines, documentaries, podcasts and more from the 15 data workers in Venezuela, Kenya and Syria telling their own stories.

Read our latest work

Content Moderators in Kenya Speak Out!

Explore the reports and zines from Fasica, Ranta, Mophat and X who moderated content for Meta.

The Harrowing Work of Content Moderation

Fasica Berhane

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.

Read the full report

The Harrowing Work of Content Moderation

Fasica Berhane

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.

Read the full report

The Harrowing Work of Content Moderation

Fasica Berhane

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.

Read the full report

The Harrowing Work of Content Moderation

Fasica Berhane

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.

Read the full report

The Conveners

This project was conceived by XXX in collaboration with XXX who decided to collaborate with 15 data workers. Learn more about the convenors.

Funders and Supporters