Timnit Gebru, one of the best-known AI researchers today and co-lead of an AI ethics team at Google, no longer works at the company. Details are still being gathered, but according to Gebru, she was fired Wednesday for sending an email to “non-management employees that is inconsistent with the expectations of a Google manager.” She said Google AI employees who report to her were emailed and told that she accepted her resignation when she did not offer her resignation. VentureBeat reached out to Gebru, a Google spokesperson, and Google AI chief Jeff Dean for comment. This story will be updated if we hear back.

I was fired by @JeffDean for my email to Brain women and Allies. My corp account has been cutoff. So I’ve been immediately fired

— Timnit Gebru (@timnitGebru) December 3, 2020

In a tweet published days before leaving Google, Gebru questioned whether there’s regulation that protects people from divulging whistleblower law protection for members of the AI ethics community.

Gebru left Google the same day that the National Labor Review Board (NLRB) filed complaints against Google that found that the company spied on and illegally fired two employees involved in labor organizing.

today the nlrb said i was illegally fired. it took a year. i hope they acknowledge what is happening to Timnit sooner. #ISupportTimnit #BelieveBlackWomenhttps://t.co/Qkvd4hFrZE

— kathryn spiers (@computerfemme) December 3, 2020

Tawana Petty is a data justice and privacy advocate in Detroit who this week was named national organizing director of Data for Black Lives. This morning she gave a talk about the legacy of surveillance of Black communities with tech like facial recognition and the toxicity of white supremacy on people’s lives. She dedicated her keynote talk at the 100 Brilliant Women in AI Ethics conference to Timnit Gebru.

“She was terminated for what we all aspire to do and be,” Petty said.

Mia Shah-Dand, who organized the conference and previously worked at Google, called Gebru’s dismissal a reflection of toxic culture in tech and a sign that women, particularly Black women, need support.

I thought this was a joke because it seemed ridiculous that anyone would fire @timnitGebru given her expertise, her skills, her influence. This is one of the many times when I think there is just no hope for the tech industry. https://t.co/2Px7nkObke

— Ellen K. Pao (@ekp) December 3, 2020

Timnit Gebru is known for some of the most influential work in algorithmic fairness research and combating algorithmic bias with the potential to automate oppression. Gebru is a cofounder of the Fairness, Accountability, and Transparency (FAccT) conference and Black in AI, a group that hosts community gatherings and mentors young people of African descent. Black in AI holds its annual workshop Monday at NeurIPS, the largest AI research conference in the world.

Before coming to Google, Gebru joined Algorithmic Justice League founder Joy Buolamwini and created the Gender Shades project to assess the performance of facial recognition systems from major vendors like IBM and Microsoft. As part of that work, a peer-reviewed paper concluded that facial recognition tends to work best on white men and worst for women with a dark skin tone. That research and subsequent work by Buolamwini and Deborah Raji in 2019 have been highly influential among lawmakers deciding how to regulate the technology and people’s attitudes about the threat posed by algorithmic bias.

I gave Google the benefit of the doubt re: AI ethics and fairness entirely because of the existence of Timnit’s team and the work they do there, knowing she and others are outspoken advocates and activists.

Now that she’s been fired, I’d argue Google no longer deserves it. https://t.co/sazZvz2iDS

— Cathy O’Neil (@mathbabedotorg) December 3, 2020

While working at Microsoft Research, she was lead author of “Datasheets for Datasets,” a paper that recommends including a set of standard information with datasets in order to provide data scientists with context before they decide to use that data for training an AI model. “Datasheets for Datasets” would later act as motivation for the creation of model cards.

As a Google employee, Gebru joined Mitchell, Raji, and others in writing a paper in 2019 about model cards, a framework for providing benchmark performance information about a model for machine learning practitioners to evaluate before using an AI model. Google Cloud began providing model cards for some of its AI last year, and this summer introduced the Model Card Toolkit for developers to make their own model cards.

This summer, Gebru and her former colleague Emily Denton led a tutorial about fairness and ethics in computer vision at the Computer Vision and Pattern Recognition (CVPR) which organizers called “required viewing for us all.” Shortly after that she got into a public spat with Facebook director of AI research Yann LeCun about AI bias, which turned out to be a teachable moment for LeCun, who won the Turing Award in 2019 for his work on deep learning.

Member of the AI community and others have at times have referred to Gebru as someone actively trying to save the world. Earlier this year, Gebru led a was included in the book “Good Night Stories for Rebel Girls: 100 Immigrant Women Who Changed the World,” a book that was released in October.