Illustration depicting two different kinds of platform workers. On the left, a woman with long dark hair stands in front of a professional-looking camera. Next to her is a reflective umbrella for light manipulation in photography. On the right, a man rides a bicycle with a rectangular box on his back, suggesting a food delivery worker. In the background are geometric shapes reminiscent of graphs and charts: a pie chart with no labels and slightly disconnected segments, and a series of rectangles reminiscent of a bar graph.

EU's Platform Work Directive goes into law

Our own Mila Miceli testified in favor of including protections for data workers, without whom AI systems wouldn't exist, along with Uber drivers and other gig workers.

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Photo of a crowd of several dozen activists in a large room. All are looking to the right, and several hold up fists. At the front are a couple signs. One reads, in French, "Lobbyiste Uber. Emmanuel Macron," and shows a photo of the French president.

We signed in support of gig workers

We joined dozens of other organizations in signing the Brussels Appeal, supporting gig workers and rejecting further uberization of work.

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Group photo. At the center is Timnit Gebru, a Black woman with her hair pulled back. She is wearing glasses, and a patterned red shirt, as well as a conference badge on a red lanyard. Four other people are in the photo around her: from left, a dark-skinned man with gray hair and a gray beard, wearing glasses and a brown t-shirt; a white woman with brown curly hair reaching her shoulders, wearing a blazer and a red and white patterned shirt; a white woman with shoulder-length curly blond hair, wearing a gray shirt; a light-skinned woman with short, dark hair that frames her face, wearing a conference badge and a black shirt.

Best practices for community-driven research

The report is out from our community-driven research workshop, held in 2023 with the Community Computing Consortium (CCC). Rule 1: Expect no free labor.

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A curated set of relevant press coverage on our work, on topics ranging from language technology to algorithmic bias and labor exploitation.

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