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Timnit Gebru (Amharic and Tigrinya: ትምኒት ገብሩ; 1982/1983) is an Eritrean Ethiopian-born computer scientist who works in the fields of artificial intelligence (AI), algorithmic bias and data mining. She is an advocate for diversity in technology and co-founder of Black in AI, a community of Black researchers working in AI.
- 13 May 1983 (age 40), Addis Ababa, Ethiopia
Timnit Gebru. I am currently a research scientist at Google in the ethical AI team. Prior to that I did a postdoc at Microsoft Research, New York City in the FATE (Fairness Transparency Accountability and Ethics in AI) group, where I studied algorithmic bias and the ethical implications underlying projects aiming to gain insights from data (see ...
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Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that she accepted your resignation.”. Heart rate spiking, Gebru was shocked to find that her company account ...
Timnit Gebru is the founder and executive director of the Distributed Artificial Intelligence Research Institute (DAIR). Prior to that she was fired by Google in December 2020 for raising issues of discrimination in the workplace, where she was serving as co-lead of the Ethical AI research team.
Black in AI, formally called the Black in AI Workshop, is a technology research organization and affinity group, founded by computer scientists Timnit Gebru and Rediet Abebe in 2017. [1] [2] [3] It started as a conference workshop, later pivoting into an organization.
- 2017; 6 years ago
- Non-profit Organization
- Palo Alto, California, U.S.
Sep 7, 2023 · By Billy Perrigo. September 7, 2023 7:00 AM EDT. Timnit Gebru co-wrote one of the most influential AI ethics papers in recent memory, a journal article arguing that the biases so present in...
May 22, 2023 · The Ethiopian-born computer scientist lost her job after pointing out the inequalities built into AI. But after decades working with technology companies, she knows all too much about...
