60 Minutes spoke with data workers, including Data Workers' Inquiry community researcher Fasica Berhane Gebrekidan, about the working conditions they face as precarious employees of large American tech firms.

Spain's El País spoke to Mila about the hidden, precarious labor behind AI's seemingly automatic nature. [In Spanish]

Abullahi Tsanni covered this year's Deep Learning Indaba in Senegal, and interviewed both Timnit and Kathleen for this MIT Technology Review article. In the process, he covers some of the factors that complicate the use and development of AI technology on the continent. But says Kathleen: “We’re starting to see a critical mass of people having basic foundational skills. They then go on to specialize.” She adds: “It’s like a wave that cannot be stopped.”

Business Insider named Alex to their 2024 AI Power list, recognizing her foundational research and tireless advocacy on behalf of people who are most negatively impacted by AI systems.

National Geographic included Nyalleng in this wide-ranging feature, where she urges a distributed technology future - we need to build our own tech. "We absolutely have got to interrogate the question of power," she says. "We cannot expect the Googlers or the OpenAI people to understand all of us. We cannot ask Silicon Valley to represent all 8 billion of us. The best way is for each one of us to build the systems locally."

Tech Policy Press covered the Data Workers' Inquiry launch on their podcast.

"One thing that came up again and again in these reports is that the people who do this labor don't get any credit for helping build these powerful platforms and tools. Oftentimes they aren't even told who they're working for.

Not surprisingly, the main focus with this Data Workers' Inquiry is labor. How are these workers being exploited and what can they do to protect themselves? A lot of the conversation from this launch is about that. And one thing that came across in all this dialogue is how remarkable it is that this conversation is happening at all because it's risky for data workers to talk."

TechCrunch covers the launch of the Data Workers' Inquiry, our worker-led collaboration with the Weizenbaum Institute and 15 community researchers.

"Quantifying experiences like these often fails to capture the real costs — the statistics you end up with are the type that companies love to trumpet (and therefore to solicit in studies): higher wages than other companies in the area, job creation, savings passed on to clients. Seldom are things like moderation workers losing sleep to nightmares or rampant chemical dependency mentioned, let alone measured and presented."

Alex talks to NPR's Morning Edition about Google's admission that AI has driven a 50 percent increase in the company's greenhouse gas emissions in the last five years.

Krystal talks to ABC News about the human labor that goes into training AI, including her own experience as a gig worker, and the precarity many face despite the necessity of this work to tech company profits.

Elaine talks about the ways AI currently fails to serve patients, both through missing context and the embedded biases of its training data. "And, as Nsoesie observes, perhaps we can entirely reframe the opportunity AI poses in health care. Instead of trying to measure the biological qualities of individuals with machines, we might deploy those models to learn something about entire regions and communities."

Nyalleng: "If it works with people and works for people, then it has to be regulated.”

Our spatial apartheid work was featured in MIT Technology Review!

Stochastic Parrots is AI Related Word of the 2023! Read this article on the origins of the word.

Asme: "Chatbots like ChatGPT are utterly broken or useless for these languages."

Timnit and Safiya were featured in this Rolling Stone article that reached more than 1 million readers.

Remote Mechanical Turk workers are responsible for training artificial intelligence algorithms and completing other data-related business processes - we hear about the workplace issues they face.

Article in German about our fellow Meron Estefanos. The English translation of the title is The lonely huntress of human traffickers.

Our fellow, Adrienne Williams, has won a Just Tech fellowship. Read her project description here.

Dylan Baker joins Sarah Roberts to discuss the exploited labor fueling AI systems.

Timnit was listed in Time’s 100 in AI, FastCompany’s AI 20, Nature’s 10, Time’s 100, and The Continent’s Africans of the Year.

In this interview, Asmelash Teka breaks down how ChatGPT fails to serve Black people around the world.

DAIR was the cover story of issue 9 of The Continent.

This article in the Financial Times breaks down the TESCREAL bundle of idoelogies driving the race to attempt to build "artificial general intelligence."

Alex was on NPR's Market place discussing what generative AI is and isn't.

Alex and other panelists at a Bloomberg conference in San Francisco remind the audience that AI is primarily being used for surveillance purposes.

Mila's work was discussed in this article detailing the labor exploitation fueling AI systems.

Alex was on Bloomberg TV discussing bias and AI.

After the Whistle Blows: Silicon Valley likes to celebrate and lionize disruptors. But for women in the tech industry who speak out, there can be a high price to pay for rocking the boat.

Adrienne, Mila and Timnit's works were discussed in this article detailing the labor exploitation fueling AI systems.

Mila's work is discussed in this article discussing how the AI industry exploits labor.

After her departure, she joined Timnit Gebru’s Distributed AI Research Institute, and work is well underway.

Timnit appeared on the CBS show 60 minutes, to discuss the dangers of large language models.

The Washington Post covered DAIR's launch.