Timnit Gebru SILENCED No More on AI Bias
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Timnit Gebru, one of the world’s most promising AI researchers, was fired from Google for speaking out against systemic and institutionalized gender and racial bias in the field of artificial intelligence. Gebru is a native of Ethiopia, and Google had recently announced her as its “top researcher.” Google has had a reputation for favoring diverse groups of employees in recent years, including women and people of color. After receiving harsh criticism for her speech, in which she made several calls for Google to “take action against systemic
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In October 2021, Timnit Gebru, a renowned AI researcher and scholar, was fired by Google after a whistleblower’s revelations, which led to the dismissal of a prominent female scientist, Sara Habib. It’s a case of “Gebru versus Google.” On January 24, Google released a detailed statement detailing the reason why they’d ended Gebru’s contract with the company. According to the statement, Gebru had breached company policy by participating in Google’s internal
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Sunday, April 18th, 2021 — 4 pm EST [Cut to] Timnit Gebru, a renowned AI researcher and activist, was silenced at the Googleplex in Mountain View, California, on Monday, April 19th, 2021. Timnit’s colleague, who works with her at the same university, was forced to resign on the same day after 12 years, citing “political pressure.” The university claimed that her colleague
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AI and AI bias are not only real; they are real and systemic. For instance, Timnit Gebru, a former Google AI ethicist, was fired from her position for “unconventional thinking” and pushing back against a whitewashing of AI progress. She was told in a meeting: “AI is about race, gender, and how humans will be able to control AI and have access to it,” Gebru explained. Her firing is a clear case of an unchecked “tech totalitarian”—the kind of authoritarian
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“I was the only Black woman in my department, the only woman of any color in my group, the only woman in the room, and yet, I was silenced like I was invisible. her explanation It was a wake-up call. Silence was a call to action.” Timnit Gebru wrote. I remember the day that a professor, who knew my work, told me that a panel I proposed to organize, was not going to happen. I remember feeling heartbroken and frustrated. I had spent a long time thinking and writing about what
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Six months ago, I joined Stanford’s Machine Learning course and was assigned a group project that involved building a tool to detect bias in text data. The first few weeks were straightforward. I poured over the data and worked on the models, finally launching the tool a few weeks later. But then, the project stopped. It didn’t stop in a formal sense; instead, the project stopped with an email from one of the other students in the class: “You are not doing any work on this project. The project has been taken over by the school project