Timnit Gebru is a computer scientist whose work explores algorithmic bias and the ethical implications of data mining projects.
Timnit is an advocate for diversity in technology and is the cofounder of Black in AI, a community of black researchers working in artificial intelligence. She seeks both to increase diversity in the field of AI and to reduce the negative impacts of racial bias in training data used for human-centric machine learning models.
Currently part of the Ethical AI team at Google AI, Timnit previously conducted postdoctoral research in the Fairness Accountability Transparency and Ethics (FATE) group at Microsoft Research. She has also worked at Apple, where she helped develop signal-processing algorithms for the first iPad.
Timnit was born in Ethiopia and immigrated to the United States when she was 15. She studied at Stanford University, where she earned her B.S. and M.S. in electrical engineering, as well as a PhD from the Stanford Artificial Intelligence Laboratory, where she studied computer vision under Fei-Fei Li.